Pytorch讲义.zip
Lecture 1_Overview Lecture 2_ Linear Model Lecture 3_ Gradient Descent Lecture 4_ Back-propagation Lecture 5_ Linear regression in PyTorch way Lecture 6_ Logistic Regression Lecture 7_ Wide _ Deep Lecture 8_ DataLoader Lecture 9_ Softmax Classifier Lecture 10_ CNN Lecture 11_ RNN Lecture 12_ NSML_ Smartest ML Platform
文件列表
Pytorch讲义.zip
(预估有个12文件)
Lecture 6_ Logistic Regression.pptx
2.59MB
Lecture 10_ CNN.pptx
7.84MB
Lecture 4_ Back-propagation.pptx
3.64MB
Lecture 2_ Linear Model.pptx
2.67MB
Lecture 1_Overview.pptx
22.24MB
Lecture 7_ Wide _ Deep.pptx
3.11MB
Lecture 5_ Linear regression in PyTorch way.pptx
4.05MB
Lecture 3_ Gradient Descent.pptx
2.73MB
Lecture 11_ RNN.pptx
2.06MB
Lecture 9_ Softmax Classifier.pptx
4.51MB
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