GitHub - xinyyhu/pttutorial: a exercise from patrickloeber in youtube

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a exercise from patrickloeber in youtube

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Name		Name	Last commit message	Last commit date
Latest commit History 50 Commits
data/wine		data/wine
02 - Tensor Basics.ipynb		02 - Tensor Basics.ipynb
03 - Gradient Calculation With Autograd.ipynb		03 - Gradient Calculation With Autograd.ipynb
04 - Backpropagation - Theory With Example.ipynb		04 - Backpropagation - Theory With Example.ipynb
05 - Gradient Descent with Autograd and Backpropagation.ipynb		05 - Gradient Descent with Autograd and Backpropagation.ipynb
06 - Training Pipeline_ Model Loss and Optimizer.ipynb		06 - Training Pipeline_ Model Loss and Optimizer.ipynb
07 - Linear Regression.ipynb		07 - Linear Regression.ipynb
07.py		07.py
08 - Logistic Regression.ipynb		08 - Logistic Regression.ipynb
09 - Dataset and DataLoader - Batch Training.ipynb		09 - Dataset and DataLoader - Batch Training.ipynb
10 - Dataset Transforms.ipynb		10 - Dataset Transforms.ipynb
11 - Softmax and Cross Entropy.ipynb		11 - Softmax and Cross Entropy.ipynb
12 - Activation Functions.ipynb		12 - Activation Functions.ipynb
13 - Feed-Forward Neural Network.ipynb		13 - Feed-Forward Neural Network.ipynb
17 - Saving and Loading Models.ipynb		17 - Saving and Loading Models.ipynb
19 - Name Classification Using A Recurrent Neural Net.ipynb		19 - Name Classification Using A Recurrent Neural Net.ipynb
README.md		README.md