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REFERENCES.md

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Reading material

Here you can find material that you can use to prepare yourself, or simply to expland your knowledge in different areas.

Books

Deep Learning and neural networks

Applied Deep Learning - A Case-Based Approach to Understanding Deep Neural Networks, Umberto Michelucci, APRESS 2018 (available as PDF or printed version)

https://www.apress.com/gp/book/9781484237892

Advanced Applied Deep Learning - Convolutional Neural Networks and Object Detection, Umberto Michelucci, APRESS 2019

https://www.apress.com/gp/book/9781484249758

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition, Aurélien Géron, O'Reilly 2019

Amazon Link

Hands-On Neural Networks with TensorFlow 2.0, by Paolo Galeone

amazon.co.uk Link

For information subscribe to Paolo's newsletter: http://pgaleone.eu/subscribe

TensorFlow and Keras

Learn Keras for Deep Neural Networks - A Fast-Track Approach to Modern Deep Learning with Python, Moolayil, Jojo John, APRESS 2018

https://www.apress.com/gp/book/9781484242391

General Python and Data Science

A very good book that you can access completely in Google Colab is the "Python Data Science Handbook". This can be found here

Python Data Science Handbook