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种子名称： [FreeTutorials.Us] data-science-deep-learning-in-python
文件类型： 视频
文件数目： 56个文件
文件大小： 722.02 MB
收录时间： 2017-12-25 16:26
已经下载： 3次
资源热度： 108
最近下载： 2025-4-15 08:27

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[FreeTutorials.Us] data-science-deep-learning-in-python.torrent

01 What is a neural network/001 Introduction and Outline.mp46.08MB

01 What is a neural network/002 Where does this course fit into your deep learning studies.mp48.46MB

01 What is a neural network/003 Deep Learning Readiness Test.mp48.58MB

01 What is a neural network/004 Neural Networks with No Math.mp47.34MB

01 What is a neural network/005 Introduction to the E-Commerce Course Project.mp414.79MB

02 Classifying more than 2 things at a time/006 Prediction Section Introduction and Outline.mp48.99MB

02 Classifying more than 2 things at a time/007 From Logistic Regression to Neural Networks.mp48.56MB

02 Classifying more than 2 things at a time/008 Interpreting the Weights of a Neural Network.mp412.52MB

02 Classifying more than 2 things at a time/009 Softmax.mp44.56MB

02 Classifying more than 2 things at a time/010 Sigmoid vs. Softmax.mp42.41MB

02 Classifying more than 2 things at a time/011 Feedforward in Slow-Mo part 1.mp430.28MB

02 Classifying more than 2 things at a time/012 Feedforward in Slow-Mo part 2.mp416.69MB

02 Classifying more than 2 things at a time/013 Where to get the code for this course.mp42.98MB

02 Classifying more than 2 things at a time/014 Softmax in Code.mp47.77MB

02 Classifying more than 2 things at a time/015 Building an entire feedforward neural network in Python.mp413.87MB

02 Classifying more than 2 things at a time/016 E-Commerce Course Project Pre-Processing the Data.mp411.16MB

02 Classifying more than 2 things at a time/017 E-Commerce Course Project Making Predictions.mp47.58MB

02 Classifying more than 2 things at a time/018 Prediction Quizzes.mp45.1MB

02 Classifying more than 2 things at a time/019 Prediction Section Summary.mp42.82MB

03 Training a neural network/020 Training Section Introduction and Outline.mp44.42MB

03 Training a neural network/021 What do all these symbols and letters mean.mp414.57MB

03 Training a neural network/022 What does it mean to train a neural network.mp49.74MB

03 Training a neural network/023 Backpropagation Intro.mp419.1MB

03 Training a neural network/024 Backpropagation - what does the weight update depend on.mp410.13MB

03 Training a neural network/025 Backpropagation - recursiveness.mp411.19MB

03 Training a neural network/026 Backpropagation in code.mp446.34MB

03 Training a neural network/027 The WRONG Way to Learn Backpropagation.mp46.84MB

03 Training a neural network/028 E-Commerce Course Project Training Logistic Regression with Softmax.mp420.24MB

03 Training a neural network/029 E-Commerce Course Project Training a Neural Network.mp415.46MB

03 Training a neural network/030 Training Quiz.mp48.32MB

03 Training a neural network/031 Training Section Summary.mp44.1MB

04 Practical Machine Learning/032 Practical Issues Section Introduction and Outline.mp42.73MB

04 Practical Machine Learning/033 Donut and XOR Review.mp41.82MB

04 Practical Machine Learning/034 Donut and XOR Revisited.mp413.95MB

04 Practical Machine Learning/035 Common nonlinearities and their derivatives.mp42.38MB

04 Practical Machine Learning/036 Hyperparameters and Cross-Validation.mp46.94MB

04 Practical Machine Learning/037 Manually Choosing Learning Rate and Regularization Penalty.mp47.06MB

04 Practical Machine Learning/038 Practical Issues Section Summary.mp49.61MB

05 TensorFlow exercises practice and what to learn next/039 TensorFlow plug-and-play example.mp415.9MB

05 TensorFlow exercises practice and what to learn next/040 Visualizing what a neural network has learned using TensorFlow Playground.mp443.24MB

05 TensorFlow exercises practice and what to learn next/041 Where to go from here.mp46.05MB

05 TensorFlow exercises practice and what to learn next/042 You know more than you think you know.mp48.23MB

05 TensorFlow exercises practice and what to learn next/043 How to get good at deep learning exercises.mp49.45MB

05 TensorFlow exercises practice and what to learn next/044 Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp414.1MB

06 Project Facial Expression Recognition/045 Facial Expression Recognition Problem Description.mp421.43MB

06 Project Facial Expression Recognition/046 The class imbalance problem.mp410.11MB

06 Project Facial Expression Recognition/047 Utilities walkthrough.mp413.48MB

06 Project Facial Expression Recognition/048 Facial Expression Recognition in Code Binary Sigmoid.mp425.19MB

06 Project Facial Expression Recognition/049 Facial Expression Recognition in Code Logistic Regression Softmax.mp419.76MB

06 Project Facial Expression Recognition/050 Facial Expression Recognition in Code ANN Softmax.mp423.47MB

07 Appendix/051 Gradient Descent Tutorial.mp48.43MB

07 Appendix/052 Help with Softmax Derivative.mp46.28MB

07 Appendix/053 Backpropagation with Softmax Troubleshooting.mp418.15MB

07 Appendix/054 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB

07 Appendix/055 How to Code by Yourself part 1.mp424.53MB

07 Appendix/056 How to Code by Yourself part 2.mp414.8MB