• PyTorch tutorial for learners
• Codes are compatible with torch version 1.0.0
• Written in Google Colaboratory (.ipynb files)

• Tensors
• Creating Tensors
• Tensor Data Types
• Size (shape) of Tensors

• Generating data from NumPy array
• Generating data using custom DataSet and DataLoaders

• Train-test split
• k-fold Cross-Validation

• nn.Module
• Data Types
• nn.Sequential

• nn.Linear
• Nonlinear Activations
• Loss functions
• Optimizers

• Convolution & Pooling
• Padding

• Vanilla RNN
• Gated Recurrent Units
• Long Short Term Memory

• Breast cancer prediction with MLP

• CIFAR-10 image classification with MLP

• CIFAR-10 image classification with deeper MLP

• CIFAR-10 image classification with CNN

• CIFAR-10 image classification with CNN

• IMDB review sentiment classification with CNN

• IMDB review sentiment classification with CNN

-IMDB review sentiment classification with RNN

• IMDB review sentiment classification with RNN

• Fashion MNIST classification with CNN-RNN