Deep learning in Python

Machine learning has made remarkable strides in recent years, from almost useless speech and image recognition to superhuman accuracy. We have gone from programs that couldn't beat a slightly more experienced go player to beating a world champion.

Behind the progress in the development of learning programs is the so-called. deep learning – A combination of technical improvements, best practices and theories that have enabled the development of a number of previously unfeasible intelligent applications. With their help, we can, for example, analyse text or spoken word, translate from language to language, recognise people on social media or use self-driving cars.

This book teaches readers to design deep learning systems in Python, currently the most widely used programming language for developing such systems, and the Keras and TensorFlow libraries used by most deep learning system competition winners. After studying the book, you will gain knowledge and practical skills to apply deep learning in your own projects.

Readers of this book need only intermediate skills in this language and need have no previous experience with machine learning or the Keras or TensorFlow libraries.

The book is authored by François Chollet, a Google researcher in the field of artificial intelligence and the creator of the Keras library.