Introduction to Deep Learning (2018)

Introduction to Deep Learning (2018)

Author: Sandro Skansi

Format: pdf

Size: 2MB

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This book is a short, easy, and affordable introduction to machine learning and offers a large number of simple examples. In it you will find the most popular algorithms and architectural solutions that are intuitive to any novice developer. The book covers important topics such as learning neural networks, language processing, feedback neural networks, mathematical background, and the history of artificial intelligence. All examples in the book are in the Python programming language.