Part 01-Module 01-Lesson 03_Anaconda/media/conda_default_install.mp4595.3KB

Part 01-Module 01-Lesson 03_Anaconda/media/conda_enter.mp497.26KB

Part 01-Module 01-Lesson 03_Anaconda/media/conda_install.mp4201.72KB

Part 01-Module 01-Lesson 04_Jupyter Notebooks/media/command+palette.mp4169.16KB

Part 01-Module 01-Lesson 04_Jupyter Notebooks/media/Markdown+cells.mp4330.36KB

Part 01-Module 01-Lesson 04_Jupyter Notebooks/media/notebook+interface.mp4215.47KB

Part 08-Module 02-Lesson 01_MiniFlow/media/input-to-output-2.mp4172.03KB

Part 01-Module 01-Lesson 01_Welcome to Deep Learning/01. 01 Welcome To The Deep Learning Program-3QPEmwq2NaE.mp414.28MB

Part 01-Module 01-Lesson 01_Welcome to Deep Learning/02. Meet Your Instructors--UOFRxCu414.mp45.86MB

Part 01-Module 01-Lesson 01_Welcome to Deep Learning/05. Projects You will Build-PqpdX7YxTlU.mp46.15MB

Part 01-Module 01-Lesson 01_Welcome to Deep Learning/10. Getting-Setup-1SuxTnuQkeE.mp46.57MB

Part 01-Module 01-Lesson 02_Applying Deep Learning/03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp438.12MB

Part 01-Module 01-Lesson 03_Anaconda/02. Why Anaconda-VXukXZv7SCQ.mp410.29MB

Part 01-Module 01-Lesson 04_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.mp47.12MB

Part 01-Module 01-Lesson 05_Matrix Math and NumPy Refresher/02. Data Has Dimensions-F4NSv776X0c.mp410.61MB

Part 01-Module 01-Lesson 05_Matrix Math and NumPy Refresher/04. Element-wise Matrix Operations-vjUykZyzko4.mp44.03MB

Part 01-Module 01-Lesson 05_Matrix Math and NumPy Refresher/06. Matrix Multiplication Part 1-JRoCFQRP4B0.mp45.89MB

Part 01-Module 01-Lesson 05_Matrix Math and NumPy Refresher/07. Matrix Multiplication Part 2-8jtk8BzBdj8.mp47.34MB

Part 01-Module 01-Lesson 05_Matrix Math and NumPy Refresher/09. Matrix Transposes-NVK5xCY3CZE.mp49.09MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.mp47.54MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.mp42.07MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/04. Classification Example-46PywnGa_cQ.mp41.62MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.mp43.85MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.mp42.59MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp45.13MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.mp4982.27KB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.mp42.68MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.mp4947KB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp43.66MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4260.01KB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.mp41.92MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp42.87MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions-B8UrWnHh1Wc.mp41.33MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.mp43.54MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.mp47.21MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.mp42.26MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.mp45.35MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp44.01MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.mp41.95MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.mp41.73MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.mp41.65MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.mp45.75MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.mp43.85MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.mp43.02MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.mp41.86MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.mp44.22MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.mp46.61MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.mp42.08MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp44.14MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp41.49MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.mp44.84MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent-rhVIF-nigrY.mp43.76MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.mp41.98MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp43.2MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.mp41.13MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.mp42.14MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/31. Non-Linear Models-HWuBKCZsCo8.mp41.13MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp42.83MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.mp44.73MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/32. Layers-pg99FkXYK0M.mp43.11MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/32. Multiclass Classification-uNTtvxwfox0.mp41.88MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp45.33MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp41.72MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.mp46.52MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.mp43.31MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/34. Chain Rule-YAhIBOnbt54.mp41.46MB

Part 02-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp45.69MB

Part 02-Module 01-Lesson 02_Implementing Gradient Descent/02. Gradient Descent-29PmNG7fuuM.mp42.46MB

Part 02-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.mp411.25MB

Part 02-Module 01-Lesson 02_Implementing Gradient Descent/06. Multilayer perceptrons-Rs9petvTBLk.mp42.85MB

Part 02-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.mp43.44MB

Part 02-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.mp42.96MB

Part 02-Module 01-Lesson 03_Training Neural Networks/03. Testing-EeBZpb-PSac.mp42MB

Part 02-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp46.42MB

Part 02-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp44.97MB

Part 02-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.mp41.01MB

Part 02-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp47.57MB

Part 02-Module 01-Lesson 03_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.mp44.22MB

Part 02-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.mp4819.86KB

Part 02-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.mp4394.99KB

Part 02-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.mp41.32MB

Part 02-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.mp42.3MB

Part 02-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp43.95MB

Part 02-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.mp4927.05KB

Part 02-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.mp42.14MB

Part 02-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp41.73MB

Part 02-Module 01-Lesson 05_Project Predicting Bike Sharing Data/01. Introduction to the Project-dOwEDeJp8yw.mp46.23MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.mp44.08MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp423.76MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp417.65MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp424.79MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.mp46.64MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp49.22MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp410.17MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp454.58MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp450.21MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp420.67MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp428.86MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp422.33MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp439.15MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp433.67MB

Part 02-Module 01-Lesson 06_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.mp411.79MB

Part 02-Module 01-Lesson 07_Keras/06. Keras Lab-a50un22BsLI.mp42.19MB

Part 02-Module 01-Lesson 08_TensorFlow/17. Conclusion-wOiUQDgGD9E.mp42.58MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/01. Introducing Alexis-38ExGpdyvJI.mp42.05MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp417.7MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/03. How Computers Interpret Images-V4f6p6uRhu8.mp46.18MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/04. MLPs For Image Classification-TIFStebu530.mp44.4MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/05. Categorical Cross-Entropy-3sDYifgjFck.mp45.42MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/06. Model Validation in Keras-002jNXSM6CU.mp45.2MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/07. When do MLPs (not) work well-deMeuLdZN3Q.mp45.54MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/09. Local Connectivity-z9wiDg0w-Dc.mp413.09MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/10. Convolutional Layers-h5R_JvdUrUI.mp48.04MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/11. Convolutional Layers-RnM1D-XI--8.mp419.81MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/12. Stride and Padding-0r9o8hprDXQ.mp47.98MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/15. Pooling Layers-OkkIZNs7Cyc.mp45.82MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.mp418.16MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/18. CNNs in Keras Practical Example-faFvmGDwXX0.mp48.71MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/20. Image Augmentation in Keras-odStujZq3GY.mp410.26MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/22. Groundbreaking CNN Architectures-ddrB-mhMfkY.mp48.09MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/23. Visualizing CNNs-mnqS_EhEZVg.mp49.2MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/25. Transfer Learning-LHG5FltaR6I.mp413.32MB

Part 03-Module 01-Lesson 02_Convolutional Neural Networks/26. Transfer Learning in Keras-HsIAznMM1LA.mp412.92MB

Part 03-Module 01-Lesson 04_Weight Initialization/02. Weight Initialization 1-6vXMYu_TQIA.mp410.75MB

Part 03-Module 01-Lesson 04_Weight Initialization/03. Weight Initialization 2-BI3f0Cdc_nU.mp411.1MB

Part 03-Module 01-Lesson 04_Weight Initialization/04. Weight Initialization 3-JIQl0jMpdsI.mp45.43MB

Part 03-Module 01-Lesson 04_Weight Initialization/05. Weight Initialization 4-FM6t7AsodGQ.mp49.56MB

Part 03-Module 01-Lesson 05_Autoencoders/02. Autoencoders-ar5Iyx68cWc.mp42.22MB

Part 03-Module 01-Lesson 05_Autoencoders/03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.mp415.66MB

Part 03-Module 01-Lesson 05_Autoencoders/04. Simple Autoencoder Solution-Nv_D6DHfEk8.mp48.59MB

Part 03-Module 01-Lesson 05_Autoencoders/05. Convolutional Autoencoders-18SZVRaumGs.mp421.51MB

Part 03-Module 01-Lesson 05_Autoencoders/06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.mp412.68MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/02. Transfer Learning--WmQwYr0DYjY.mp48.28MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/03. Building VGGNet-615SslQiGvo.mp48.87MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/04. Pretrained VGGNet-BpzI6Svmuv8.mp43.16MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/05. Data Preparation-WfsDMq-b3y4.mp49.23MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/06. Data Preparation-WEtKkHlhhZA.mp44.4MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/07. Building The Classifier-pPHiVddBY0Q.mp41.99MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/08. Building The Classifier-6ifxRQ_gL7w.mp43.99MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/09. Training The Classifier-b7Fy3cIoJ1Y.mp44.19MB

Part 03-Module 01-Lesson 06_Transfer Learning in TensorFlow/10. Training And Testing-NLPtmQjGYCA.mp48.23MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.mp41.55MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.mp44.73MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.mp41.52MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.mp42.2MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.mp42.85MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.mp41.46MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4862.5KB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.mp41.49MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.mp41.24MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp41.58MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp42.83MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.mp45.51MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4888.58KB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp41.57MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp41.14MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp42.31MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/18. Images-1GdiN5Wc8LA.mp4395.42KB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.mp46.66MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp41.11MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.mp41.11MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.mp42.68MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.mp42.43MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp43.46MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp45.04MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.mp43.07MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp48.2MB

Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.mp41.15MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp410.69MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp420.89MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp424.26MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp417.27MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp425.79MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp419.68MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp417.74MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp426.65MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp434.84MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp412.76MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp414.77MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/09. Regra da cadeia-YAhIBOnbt54.mp41.46MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp437.06MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp410.43MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.mp421.12MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp410.5MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp422.11MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp421.57MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp418.1MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp417.23MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.mp47.26MB

Part 04-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp436.16MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.mp43.58MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.mp44.03MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.mp41.07MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.mp42.22MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.mp41.04MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.mp4676.91KB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp41.5MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.mp41.58MB

Part 04-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.mp41.71MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/02. Character-Wise RNN-dXl3eWCGLdU.mp42.88MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/03. Sequence-Batching-Z4OiyU0Cldg.mp42.29MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/05. Implementing a Character-wise RNN-KPCMn_jg2oY.mp413.63MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/06. Batching Data Solution-o3nBxHJLQcc.mp45.08MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/07. LSTM Cell-ajC-5uWB8S4.mp47.79MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/08. LSTM Cell Solution-X4uA0dq_4jA.mp43.55MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/09. RNN Output-RkanDkcrTxs.mp48.92MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/10. Network Loss-itu-uNK4brc.mp44.28MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/11. Output And Loss Solutions-CT8hcU7FmGc.mp44.69MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/12. Build The Network-RVNjDlWTBQU.mp47.1MB

Part 04-Module 01-Lesson 03_Implementation of RNN and LSTM/13. Build The Network And Results-hu8iMMqajmQ.mp413.27MB

Part 04-Module 01-Lesson 04_Hyperparameters/02. Introduction-erwnzFD7AeE.mp42.22MB

Part 04-Module 01-Lesson 04_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp49.62MB

Part 04-Module 01-Lesson 04_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp44.78MB

Part 04-Module 01-Lesson 04_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.mp41.46MB

Part 04-Module 01-Lesson 04_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp43.4MB

Part 04-Module 01-Lesson 04_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp44.12MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/02. Implementing Word2Vec-7M431_f9HgE.mp423.33MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/03. Subsampling Solution-MAUM_mV_lj8.mp49.65MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/04. Making Batches-jx7qwdw-94k.mp47.73MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/05. Batches Solution-DdfR0RjSC-Q.mp43.88MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/06. Building The Network-fhSb5c6UX6M.mp48.09MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/07. Negative Sampling-gW17AHBKbHY.mp44.16MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/08. Building The Network Solution-pkBAhQ2Ki-8.mp47.34MB

Part 04-Module 01-Lesson 05_Embeddings and Word2vec/09. Training Results-uISA5ns47s8.mp49.78MB

Part 04-Module 01-Lesson 06_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp411.25MB

Part 04-Module 01-Lesson 06_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.mp46.86MB

Part 04-Module 01-Lesson 06_Sentiment Prediction RNN/04. Creating Testing Sets-BRBbrNLz1ho.mp42.13MB

Part 04-Module 01-Lesson 06_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.mp419.11MB

Part 04-Module 01-Lesson 06_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.mp48.41MB

Part 04-Module 01-Lesson 06_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp423.11MB

Part 04-Module 01-Lesson 07_Generate TV Scripts/01. Project-3-Intro-qNpv7IjQzo0.mp4667.23KB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/01. GANs Intro-F7XgI6TmaGI.mp43.22MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/02. Cool Things To Do With GANs-bo-ToTdhgew.mp411.98MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/03. Other Generative Models, How GANs Work-MF0QCP1OC9I.mp410.28MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.mp413.4MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/05. GANs Architecture -gaEs7ccZv_Q.mp415.96MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/07. Getting Started with GANs-QA2ntKUha4g.mp45.04MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/08. Generator Network-btHVXnICmzQ.mp47.08MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/09. Discriminator Network-nWXxT8OqCfs.mp41.04MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/10. Generator and Discriminator Solutions-9By2pAck044.mp46.29MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/11. Building the Network-5sZkRSHfiAE.mp44.22MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/12. Building the Network Solution-Ikp3rVzG970.mp44.33MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/13. Training Losses-IaAeDrXMEcU.mp45.83MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/14. Training Optimizers-AU5gH7LS57E.mp43.45MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.mp46.82MB

Part 05-Module 01-Lesson 01_Generative Adversarial Networks/16. A Trained GAN-TR-uEJcjig4.mp411.67MB

Part 05-Module 01-Lesson 02_Deep Convolutional GANs/02. Deconvolution-sX_AxtB6CHI.mp48.27MB

Part 05-Module 01-Lesson 02_Deep Convolutional GANs/05. DCGAN And The Generator-CH6BxLTKt7s.mp416.03MB

Part 05-Module 01-Lesson 02_Deep Convolutional GANs/06. Generator Solution-jyPwUEZg05Q.mp47.26MB

Part 05-Module 01-Lesson 02_Deep Convolutional GANs/07. Discriminator-XRqOUbf96eI.mp43.25MB

Part 05-Module 01-Lesson 02_Deep Convolutional GANs/08. Discriminator Solution-ffPWI2yJscw.mp43.87MB

Part 05-Module 01-Lesson 02_Deep Convolutional GANs/09. Building And Training The Network-nXKk9GI4X14.mp48.08MB

Part 05-Module 01-Lesson 02_Deep Convolutional GANs/10. Hyperparameters Solution-Rt8MlVDtpi8.mp47MB

Part 05-Module 01-Lesson 03_Generate Faces/01. Last Project - Congrats-UUqU8SYBZ9Q.mp42.2MB

Part 05-Module 01-Lesson 03_Generate Faces/02. P5 Intro-jvJtHYBX7sM.mp41.61MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/02. Semi-Supervised Learning-_LRpHPxZaX0.mp410.11MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/03. Introducing Semi-Supervised Learning-tnCClNy5z5c.mp45.88MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/04. Data Prep-P5hOx09mwaM.mp46.15MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/05. Building The Generator And Discriminator-OWytckbbeGQ.mp417.97MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/06. Model Loss Exercise-W7TawMNxBds.mp415.85MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/07. Model Optimization Exercise-wNpI1wUA4Io.mp412.64MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/08. Training The Network -P-LXQPVXl4A.mp45.46MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/09. Discriminator Solution-_X8ssUzu_Bo.mp47.43MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/10. Model Loss Solution-r3DtohmychE.mp48.84MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/11. Model Optimizer Solution-_Qhz9SbR7xY.mp44.14MB

Part 05-Module 01-Lesson 04_Semi-Supervised Learning/12. Trained Semi-Supervised GAN-9yWYZDX8-O8.mp47.2MB

Part 06-Module 01-Lesson 01_Introduction to RL/01. Introduction-6jSFl5kxIBs.mp45.15MB

Part 06-Module 01-Lesson 01_Introduction to RL/02. Applications-CV6B84mKRNM.mp48.46MB

Part 06-Module 01-Lesson 01_Introduction to RL/03. The Setting-nh8Gwdu19nc.mp47.75MB

Part 06-Module 01-Lesson 01_Introduction to RL/04. OpenAI Gym-MktEOWp3QLg.mp49.47MB

Part 06-Module 01-Lesson 01_Introduction to RL/05. Resources-_YPqfAnCqtk.mp46.97MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.mp42.9MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.mp47.36MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp410.07MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.mp44.38MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp46.84MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.mp48.05MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.mp49.96MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.mp414.3MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.mp43.86MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.mp46.82MB

Part 06-Module 01-Lesson 02_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.mp414.75MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.mp45.39MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp420.24MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.mp42.38MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.mp45.28MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.mp44.14MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/08. Optimality-j231aRV74QM.mp45.99MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.mp46.6MB

Part 06-Module 01-Lesson 03_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.mp47.11MB

Part 06-Module 01-Lesson 04_Dynamic Programming/01. Introduction-ek2PD9RDrWw.mp46.18MB

Part 06-Module 01-Lesson 04_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.mp44.69MB

Part 06-Module 01-Lesson 04_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp427.57MB

Part 06-Module 01-Lesson 04_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp426.59MB

Part 06-Module 01-Lesson 04_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp430.38MB

Part 06-Module 01-Lesson 04_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.mp48.14MB

Part 06-Module 01-Lesson 04_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.mp414.13MB

Part 06-Module 01-Lesson 04_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.mp415.65MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/01. Introduction-W2EP3riQSus.mp44.93MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/03. MC Prediction State Values-0q2wSWyuBj8.mp433.39MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/06. MC Prediction Action Values-08tLtbh0xLs.mp422.01MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/09. Generalized Policy Iteration-XRmz4nolEsw.mp46.92MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/10. MC Control Incremental Mean-E2RITH-2NUE.mp420.07MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/12. MC Control Policy Evaluation-3_opwMzpEEI.mp49.1MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/13. MC Control Policy Improvement-2RKH-BInX7s.mp422MB

Part 06-Module 01-Lesson 05_Monte Carlo Methods/18. MC Control Constant-alpha-QFV1nI9Zpoo.mp412.46MB

Part 06-Module 01-Lesson 06_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp420.67MB

Part 06-Module 01-Lesson 06_Temporal-Difference Methods/03. TD Prediction TD(0)-CsD6b0csU7o.mp430.11MB

Part 06-Module 01-Lesson 06_Temporal-Difference Methods/06. TD Prediction Action Values-1c029-7_9GA.mp49.73MB

Part 06-Module 01-Lesson 06_Temporal-Difference Methods/07. TD Control Sarsa(0)-LkFkjfsRpXc.mp47.63MB

Part 06-Module 01-Lesson 06_Temporal-Difference Methods/10. TD Control Sarsamax-4DxoYuR7aZ4.mp416.53MB

Part 06-Module 01-Lesson 06_Temporal-Difference Methods/13. TD Control Expected Sarsa-kEKupCyU0P0.mp44.28MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/01. Deep Reinforcement Learning-GPjK124RU5g.mp433.2MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp421.37MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.mp412.55MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/07. Tile Coding-BRs7AnTZ_8k.mp411.03MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/09. Coarse Coding-Uu1J5KLAfTU.mp410.3MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/10. Function Approximation-UTGWVY6jEdg.mp420.08MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/11. Linear Function Approximation-OJ5wrB7o-pI.mp428.67MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/12. Kernel Functions-RdkPVYyVOvU.mp48.91MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/13. Non-Linear Function Approximation-rITnmpD2mN8.mp44.95MB

Part 06-Module 02-Lesson 01_RL in Continuous Spaces/14. Summary-MTEBk43oByU.mp49.91MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/01. Intro to Deep Q-Learning-o3cmuUDhP3I.mp49.08MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/02. Neural Nets as Value Functions-cBi7vLrk8QQ.mp412.65MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/03. Monte Carlo Learning-qOviWYwcvsg.mp410.41MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/04. Temporal Difference Learning-lpmDi0QeUm8.mp416.98MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/05. Q-Learning-AI5gLgYMSq8.mp417.31MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/06. Deep Q Network-GgtR_d1OB-M.mp425.67MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp448.38MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/08. Fixed Q Targets-SWpyiEezfp4.mp420.97MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp417.45MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp439.4MB

Part 06-Module 02-Lesson 02_Deep Q-Learning/13. Wrap Up-x6JggcDTcys.mp47.2MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/01. M2L3 01 V1-YOSREyp04HA.mp44.98MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/02. M2L3 02 V2-ToS8vXGdODE.mp432.51MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/03. M2L3 03 V2-TePX-0Bs23E.mp418.85MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/04. M2L3 04 V1-QicxmyE5vTo.mp421.03MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/05. M2L3 05 V1-eZxxNNIZuwA.mp416.64MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/06. M2L3 06 V1-RMjdQkl6CqE.mp43.01MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp443.55MB

Part 06-Module 02-Lesson 03_Policy-Based Methods/08. M2L3 08 V1-og3W6CXn1F0.mp47.63MB

Part 06-Module 02-Lesson 04_Actor-Critic Methods/01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.mp410.38MB

Part 06-Module 02-Lesson 04_Actor-Critic Methods/02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.mp48.68MB

Part 06-Module 02-Lesson 04_Actor-Critic Methods/03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.mp46.13MB

Part 06-Module 02-Lesson 04_Actor-Critic Methods/04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.mp410.01MB

Part 06-Module 02-Lesson 04_Actor-Critic Methods/05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.mp410.72MB

Part 06-Module 02-Lesson 04_Actor-Critic Methods/06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.mp43.09MB

Part 06-Module 02-Lesson 04_Actor-Critic Methods/07. Summary-hvYQ_3LgCYs.mp416.9MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/02. Confusion Matrix-Question 1-9GLNjmMUB_4.mp45.04MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/03. Confusion-Matrix-Solution-ywwSzyU9rYs.mp41.1MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/04. Accuracy-s6SfhPTNOHA.mp42.34MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/05. Accuracy 2-ueYCLfd_aNQ.mp4573.82KB

Part 08-Module 01-Lesson 01_Evaluation Metrics/06. When Accuracy Wont Work-r0-O-gIDXZ0.mp42.15MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/07. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.mp42.22MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/08. Answer False Negatives And Positives-KOytJL1lvgg.mp42.23MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/09. 06 Precision SC V1-q2wVorBfefU.mp42.24MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/10. 07 Recall SC V1-0n5wUZiefkQ.mp42.15MB

Part 08-Module 01-Lesson 01_Evaluation Metrics/11. ROC Curve-2Iw5TiGzJI4.mp46.66MB

Part 08-Module 01-Lesson 02_Regression/01. Welcome To Linear Regression-zxZkTkM34BY.mp43.9MB

Part 08-Module 01-Lesson 02_Regression/02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp41.48MB

Part 08-Module 01-Lesson 02_Regression/03. Solution Housing Prices-uhdTulw9-Nc.mp41001.4KB

Part 08-Module 01-Lesson 02_Regression/04. Fitting A Line-gkdoknEEcaI.mp41.12MB

Part 08-Module 01-Lesson 02_Regression/05. Moving A Line-8EIHFyL2Log.mp4981.31KB

Part 08-Module 01-Lesson 02_Regression/06. Absolute Trick-DJWjBAqSkZw.mp45.17MB

Part 08-Module 01-Lesson 02_Regression/07. Square Trick-AGZEq-yQgRM.mp43.28MB

Part 08-Module 01-Lesson 02_Regression/08. Gradient Descent-4s4x9h6AN5Y.mp44.25MB

Part 08-Module 01-Lesson 02_Regression/09. Mean Absolute Error-vLKiY0Ehors.mp42.57MB

Part 08-Module 01-Lesson 02_Regression/10. Mean Squared Error-MRyxmZDngI4.mp41.83MB

Part 08-Module 01-Lesson 02_Regression/11. Minimizing Error Functions-RbT2TXN_6tY.mp43.85MB

Part 08-Module 01-Lesson 02_Regression/14. Absolute Vs Squared Error-csvdjaqt1GM.mp4660.25KB

Part 08-Module 01-Lesson 02_Regression/14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.mp4692.8KB

Part 08-Module 01-Lesson 02_Regression/14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.mp4873.14KB

Part 08-Module 01-Lesson 02_Regression/16. Higher Dimensions--UvpQV1qmiE.mp42.65MB

Part 08-Module 01-Lesson 02_Regression/18. Closed Form Solution-G3fRVgLa5gI.mp42.84MB

Part 08-Module 01-Lesson 02_Regression/21. Polynomial Regression-DBhWG-PagEQ.mp4982.28KB

Part 08-Module 01-Lesson 02_Regression/22. Regularization-PyFNIcsNma0.mp48.76MB

Part 08-Module 01-Lesson 02_Regression/23. Neural Network Regression-aUJCBqBfEnI.mp43.46MB

Part 08-Module 01-Lesson 02_Regression/25. Conclusion-pyeojf0NniQ.mp41.57MB

Part 08-Module 02-Lesson 01_MiniFlow/01. Miniflow Introduction-Nqp_UifEwt0.mp48.04MB

Part 08-Module 02-Lesson 01_MiniFlow/07. Pixels are Features!-qE5YYXtPq9U.mp41.06MB