├── .ipynb_checkpoints ├── 03. PyTorch Fundamentals - Matrices-checkpoint.ipynb ├── 04. PyTorch Fundamentals - Variables and Gradients-checkpoint.ipynb ├── 05. Linear Regression with PyTorch-checkpoint.ipynb ├── 06. Logistic Regression with PyTorch-checkpoint.ipynb ├── 07. Feedforward Neural Network with PyTorch-checkpoint.ipynb ├── 08. Convolutional Neural Network (CNN) with PyTorch-checkpoint.ipynb ├── 09. Recurrent Neural Networks (RNN)-checkpoint.ipynb └── 10. Long Short-Term Memory Networks (LSTM)-checkpoint.ipynb ├── 03. PyTorch Fundamentals - Matrices.ipynb ├── 04. PyTorch Fundamentals - Variables and Gradients.ipynb ├── 05. Linear Regression with PyTorch.ipynb ├── 06. Logistic Regression with PyTorch.ipynb ├── 07. Feedforward Neural Network with PyTorch.ipynb ├── 08. Convolutional Neural Network (CNN) with PyTorch.ipynb ├── 09. Recurrent Neural Networks (RNN).ipynb ├── 10. Long Short-Term Memory Networks (LSTM).ipynb └── data ├── processed ├── test.pt └── training.pt └── raw ├── t10k-images-idx3-ubyte ├── t10k-labels-idx1-ubyte ├── train-images-idx3-ubyte └── train-labels-idx1-ubyte /.ipynb_checkpoints/03. PyTorch Fundamentals - Matrices-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rmlowe/practical-deep-learning-with-pytorch/HEAD/.ipynb_checkpoints/03. PyTorch Fundamentals - Matrices-checkpoint.ipynb -------------------------------------------------------------------------------- /.ipynb_checkpoints/04. PyTorch Fundamentals - Variables and Gradients-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/rmlowe/practical-deep-learning-with-pytorch/HEAD/.ipynb_checkpoints/04. 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