A book containing step by step instructions to train deep learning models for a variety of tasks

Read the book | Contents | Libraries used| Built using

Read the book

You can read the book right from your browser by going here. If you find this book useful, consider starring🌟 the repo.

Contents

The book has the following contents:

1. Natural language processing

   • Named entity recognition
   • Masked language modeling
   • Machine translation
   • Summarization
   • Causal language modeling

2. Image & Text

   • Image captioning

3. Computer vision

   • Image classification
   • Image segmentation
   • Object detection

Libraries used

Here is a shortlist of the libraries & tools discussed in the book:

• Datasets
• Transformers
• Accelerate
• Pytorch lightning
• Pytorch image models
• Albumentations
• Weights & biases

Built using

This book is built using Jupyter book ❤️.