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种子名称： [FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]
文件类型： 视频
文件数目： 166个文件
文件大小： 1.06 GB
收录时间： 2019-12-1 03:03
已经下载： 3次
资源热度： 191
最近下载： 2025-1-24 21:40

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[FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO].torrent

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

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

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/03. Classification Example-46PywnGa_cQ.mp41.62MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/04. Linear Boundaries-X-uMlsBi07k.mp43.85MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/05. 09 Higher Dimensions-eBHunImDmWw.mp42.59MB

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

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/07. Why Neural Networks-zAkzOZntK6Y.mp4982.27KB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. AND And OR Perceptrons-45K5N0P9wJk.mp42.68MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/08. XOR Perceptron-TF83GfjYLdw.mp4947KB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp43.66MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4260.01KB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.mp41.92MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp42.87MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/11. Non-Linear Regions-B8UrWnHh1Wc.mp41.33MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/12. Error Functions-YfUUunxWIJw.mp43.54MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/13. Error Functions-jfKShxGAbok.mp47.21MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs Continuous-rdP-RPDFkl0.mp42.26MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.mp45.35MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp44.01MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.mp41.95MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/15. Quiz - Softmax-NNoezNnAMTY.mp41.73MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.mp41.65MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 1-1yJx-QtlvNI.mp45.75MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.mp43.85MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz - Cross 1--xxrisIvD0E.mp43.02MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.mp41.86MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp44.22MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. CrossEntropy V1-1BnhC6e0TFw.mp46.61MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/20. Formula For Cross 1-qvr_ego_d6w.mp42.08MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp44.14MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp41.49MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/22. Error Function-V5kkHldUlVU.mp44.84MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp43.76MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/24. Gradient Descent Algorithm-snxmBgi_GeU.mp41.98MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/27. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp43.2MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/28. Continuous Perceptrons-07-JJ-aGEfM.mp41.13MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/29. Non-Linear Data-F7ZiE8PQiSc.mp42.14MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/30. Non-Linear Models-HWuBKCZsCo8.mp41.13MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp42.83MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Combinando modelos-Boy3zHVrWB4.mp44.73MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Layers-pg99FkXYK0M.mp43.11MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/31. Multiclass Classification-uNTtvxwfox0.mp41.88MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp45.33MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp41.72MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Backpropagation V2-1SmY3TZTyUk.mp46.52MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Calculating The Gradient 1 -tVuZDbUrzzI.mp43.31MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. Chain Rule-YAhIBOnbt54.mp41.46MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp45.69MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/36. Training Optimization-UiGKhx9pUYc.mp42.96MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/37. Testing-EeBZpb-PSac.mp42MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/38. Underfitting And Overfitting-xj4PlXMsN-Y.mp46.42MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/39. Model Complexity Graph-NnS0FJyVcDQ.mp44.9MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/40. DL 53 Q Regularization-KxROxcRsHL8.mp41.01MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/41. Regularization-ndYnUrx8xvs.mp47.57MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/42. Dropout-Ty6K6YiGdBs.mp44.22MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/43. Local Minima-gF_sW_nY-xw.mp4819.86KB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/44. Random Restart-idyBBCzXiqg.mp4394.99KB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/45. Vanishing Gradient-W_JJm_5syFw.mp41.32MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/46. Other Activation Functions-kA-1vUt6cvQ.mp42.3MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp43.95MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/48. Learning Rate-TwJ8aSZoh2U.mp4927.05KB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/49. Momentum-r-rYz_PEWC8.mp42.14MB

Part 01-Module 01-Lesson 02_Introduction to Neural Networks/50. Error Functions Around the World-34AAcTECu2A.mp41.73MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/01. Origins Of PyTorch V2-0eLXNFv6aT8.mp430.04MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/02. Debugging And Designing PyTorch-Nn8140ECzPU.mp411.71MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/03. From Research To Production-eCysOAw8azs.mp420.81MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/04. Hybrid Frontend And JIT Compiler-J4z-P8yUZu4.mp422.89MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/05. Cutting-Edge Applicationns In PyTorch-s8p6vqOubqw.mp415.87MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/06. User Needs And Adding Features-7HH65_c7Acw.mp415.78MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/07. PyTorch And The Facebook Product-TjVveb0iVrA.mp47.55MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/08. The Future Of PyTorch-vfCg3FoOjE4.mp414.51MB

Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala/09. Learning Ai-NMItGw0GFGM.mp49.99MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/02. PyTorch V2 Part 1 V1-6Z7WntXays8.mp412.32MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp415.66MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.mp46.57MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.mp45.9MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.mp410.84MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.mp48.74MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/08. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp416.7MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp418.8MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp421.27MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.mp43.56MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/12. PyTorch - Part 4-AEJV_RKZ7VU.mp43.32MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.mp48.24MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.mp413.9MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp415.84MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.mp42.78MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/17. PyTorch - Part 6-3ZJfo2bR-uw.mp415.82MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/18. PyTorch - Part 7-hFu7GTfRWks.mp415.15MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.mp46.8MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/20. PyTorch - Part 8-S9F7MtJ5jls.mp429.51MB

Part 01-Module 01-Lesson 04_Introduction to PyTorch/21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp418.5MB

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

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/02. Applications of CNNs-HrYNL_1SV2Y.mp417.7MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.mp42.34MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.mp42.4MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.mp44.44MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.mp42.87MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/07. 04 Do Your Research V1-CR4JeAn1fgk.mp44.02MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.mp46.55MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/09. 06 Defining A Network V1-9gvaQvyfLfY.mp49.78MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/10. 07 Training The Network V1-904bfqibcCw.mp410.52MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/13. 09 One Solution V2-7q37WPjQhDA.mp411.59MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.mp43.34MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/15. 11 Validation Loss V2-uGPP_-pbBsc.mp414.23MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.mp42.4MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.mp44.24MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/18. Local Connectivity-z9wiDg0w-Dc.mp413.09MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.mp42.95MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.mp43.5MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/22. High-pass Filters-OpcFn_H2V-Q.mp48.25MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/27. Convolutional Layers-RnM1D-XI--8.mp419.81MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.mp46.09MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/29. 24 CNNs PyTorch V2-GNxzWfiz3do.mp412.6MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/30. 18 Pooling RENDER V1-_Ok5xZwOtrk.mp42.98MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.mp44.9MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.mp45.75MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.mp45.37MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/36. 23 Cifar Class V1-FF_EmZ2sf2w.mp412.83MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/39. Image Augmentation In Keras-zQnx2jZmjTA.mp44.93MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/40. 26 Augmentation V1-J_gjHVt9pVw.mp47.62MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/41. Groundbreaking CNN Architectures-GdYOqihgb2k.mp47.32MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/42. Visualizing CNNs-mnqS_EhEZVg.mp49.2MB

Part 01-Module 01-Lesson 05_Convolutional Neural Networks/44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.mp43.66MB

Part 01-Module 01-Lesson 06_Style Transfer/01. 01 StyleTransfer V3-_urN9BQ7RHM.mp42.72MB

Part 01-Module 01-Lesson 06_Style Transfer/02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.mp49.19MB

Part 01-Module 01-Lesson 06_Style Transfer/03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.mp47.86MB

Part 01-Module 01-Lesson 06_Style Transfer/04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.mp47.76MB

Part 01-Module 01-Lesson 06_Style Transfer/05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.mp41.65MB

Part 01-Module 01-Lesson 06_Style Transfer/06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.mp44.8MB

Part 01-Module 01-Lesson 06_Style Transfer/07. 6 VGG Features V1-Q5N2NEv7ADc.mp411.15MB

Part 01-Module 01-Lesson 06_Style Transfer/09. 7 Feats Gram Matrix V1-f89x9oAh6X0.mp45.64MB

Part 01-Module 01-Lesson 06_Style Transfer/10. 8 Gram Matrix Sol V1-uncCKMI5Yns.mp44.82MB

Part 01-Module 01-Lesson 06_Style Transfer/11. 9 Defining Loss V1-lix8d3B2QcE.mp47.2MB

Part 01-Module 01-Lesson 06_Style Transfer/12. 10 Loss Solution V1-DzaQm9awcwY.mp47.15MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/02. RNN Vs LSTM-70MgF-IwAr8.mp43.58MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/03. LSTM Basics-gjb68a4XsqE.mp44.03MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/04. LSTM Architecture-ycwthhdx8ws.mp41.07MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/05. Learn Gate-aVHVI7ovbHY.mp42.22MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/06. Forget Gate-iWxpfxLUPSU.mp41.04MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/07. Remember Gate-0qlm86HaXuU.mp4676.91KB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp41.5MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/09. Putting It All Together-IF8FlKW-Zo0.mp41.58MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/10. Other Architectures-MsxFDuYlTuQ.mp41.71MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp415.43MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/13. 03 Training Memory V1-sx7T_KP5v9I.mp49.57MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/14. Character-Wise RNN-dXl3eWCGLdU.mp42.88MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/15. Sequence-Batching-Z4OiyU0Cldg.mp42.29MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp416.39MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/18. 05 Batching Data V1-9Eg0wf3eW-k.mp45.82MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/19. 06 Defining Model V2-_LWzyqq4hCY.mp49.05MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/20. 07 CharRNN Solution V1-ed33qePHrJM.mp418.32MB

Part 01-Module 01-Lesson 07_Recurrent Neural Networks/21. 08 Making Predictions V3-BhrpV3kwATo.mp412.38MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp42.2MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/04. 3 Data PreProcessing V1-Xw1MWmql7no.mp410.09MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp46.45MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp44.59MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp46.36MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp45.48MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp49.01MB

Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs/10. 9 DefiningModel V1-SpvIZl1YQRI.mp45.63MB

Part 01-Module 01-Lesson 09_Deploying PyTorch Models/02. PyTorch 10 Install V1-kIwKPxgReFY.mp41.77MB

Part 01-Module 01-Lesson 09_Deploying PyTorch Models/03. PyTorch For Production V1-DBSoZWd4lQo.mp46.67MB

Part 01-Module 01-Lesson 09_Deploying PyTorch Models/04. PyTorch Script Tracing V1-lYmQDUprQa0.mp48.37MB

Part 01-Module 01-Lesson 09_Deploying PyTorch Models/05. PyTorch Script Annotation V2-pO1RM7mKaFg.mp47.25MB

Part 01-Module 01-Lesson 09_Deploying PyTorch Models/06. PyTorch C API V2-P1S1dN1gHmw.mp411.42MB