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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:

Built using

This book is built using Jupyter book ❤️.