【2017新书】Fundamentals of Deep Learning（true PDF完整版）

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• Title: Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
• Author: Nikhil Buduma
• Length: 304 pages
• Edition: 1
• Language: English
• Publisher: O'Reilly Media
• Publication Date: 2017-06-29
• ISBN-10: 1491925612
• ISBN-13: 9781491925614
  

        

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With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research that is paving the way for modern machine learning. This book uses exposition and examples to help you understand major concepts in this complicated field.

Large companies such as Google, Microsoft, and Facebook have taken notice, and are actively growing in-house deep learning teams. For the rest of us however, deep learning is still a pretty complex and difficult subject to grasp. If you have a basic understanding of what machine learning is, have familiarity with the Python programming language, and have some mathematical background with calculus, this book will help you get started.

Table of Contents

Chapter 1. The Neural Network
Chapter 2. Training Feed-Forward Neural Networks
Chapter 3. Implementing Neural Networks in TensorFlow
Chapter 4. Beyond Gradient Descent
Chapter 5. Convolutional Neural Networks
Chapter 6. Embedding and Representation Learning
Chapter 7. Models for Sequence Analysis
Chapter 8. Memory Augmented Neural Networks
Chapter 9. Deep Reinforcement Learning

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关键词：Fundamentals Fundamental Fundamenta Learning earning

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