/PyTorch-learners-tutorial

PyTorch tutorial for learners

Primary LanguageJupyter Notebook

PyTorch-learners-tutorial

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

PyTorch Basics

  • 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

Deep Learning with PyTorch

  • 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