Description
This book is about teaching people how to use deep learning tools like scikit-learn and keras to build intelligent systems. It starts with simple linear regression and goes on to deep neural networks. Along the way, there are exercises to help you apply what you've learned.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworksscikit-learn, Keras, and TensorFlowto help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.
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