Neural Networks and deep learning: theory and applications

This is the online verion of the Applied Deep Learning 2nd Edition book published by APRESS by Umberto Michelucci and Michela Sperti.

The book will be published in 2022 by APRESS and will be available as a printed version and in an online form (PDF without any limitations) from the APRESS website. As soon as available the link will be posted here.

How does this work?

This book is built using the jupyter-book wonderful open source project. You can read this book using any modern browser (chrome and safari have been tested extensively but other browser should work too).

Download the material

You can read this book without dowloading any material. But if you prefer, you can download the material locally or open the code parts in Google Colab.

You may notenice that on the top right of the page you will see typically four icons (they may be less in some cases)


  • The small rocket will allow you to open the code parts in an external environment (typically google colab)

  • The square symbol will make the page full screen

  • the GitHub logo will open the repository where the files are (in case you want to download all the notebooks directly)

  • the download symbol will allow you to download the page you are reading in various formats.

Last Build

This book has been built last time on Fri Oct 23 08:23:16 CEST 2020