Practical deep learning: a python-based introduction

Kneusel, Ronald T.

Practical deep learning: a python-based introduction - San Francisco: No Starch Press, 2021. - xxv, 315p.; pbk; 24cm

Includes index

If you’ve been curious about machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.

All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance.

https://nostarch.com/practical-deep-learning-python

9781718500747


Machine learning
Python--Computer program language
Programming Language
Deep learning
Neural network

006.31 / KNE


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