PyTorch-Notes

Notes & implementation of useful PyTorch functions for future reference

Name		Name	Last commit message	Last commit date
00.Tensors.ipynb		00.Tensors.ipynb
01.Gradients.ipynb		01.Gradients.ipynb
02.Backpropagation.ipynb		02.Backpropagation.ipynb
03.Gradient Descent and Backpropagation.ipynb		03.Gradient Descent and Backpropagation.ipynb
04.Gradient Descent and Backpropagation2.ipynb		04.Gradient Descent and Backpropagation2.ipynb
05.Gradient Descent and Backpropagation3.ipynb		05.Gradient Descent and Backpropagation3.ipynb
06.Gradient Descent and Backpropagation4.ipynb		06.Gradient Descent and Backpropagation4.ipynb
07.Linear Regression.ipynb		07.Linear Regression.ipynb
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 Networks.ipynb		13.Feed Forward Neural Networks.ipynb
14.Conv Nets Helper.ipynb		14.Conv Nets Helper.ipynb
14.Convolutional Neural Networks.ipynb		14.Convolutional Neural Networks.ipynb
15. Helpful Torch Functions.ipynb		15. Helpful Torch Functions.ipynb
16. Transfer Learning.ipynb		16. Transfer Learning.ipynb
17.Tensor Board.ipynb		17.Tensor Board.ipynb
18. Saving and Loading Models.ipynb		18. Saving and Loading Models.ipynb
README.md		README.md

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