Fundamentals of Deep learning下载

weixin_39820780 2019-09-28 10:00:26

深度学习 Tensorflow 下一代智能
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Fundamentals of Deep Learning 深度学习基础英文版 pdf电子书+代码

Fundamentals of Deep Learning 深度学习基础 TensorFlow语言

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

Fundamentals of Deep Learning DESIGNING NEXT-GENERATION MACHINE INTELLIGENCE ALGORITHMS Nikhil Buduma with contributions by Nicholas Locascio

Nikhil Buduma, Nicholas Locascio, "Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms" ISBN: 1491925612 | 2017 | EPUB | 304 pages | 16 MB 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.

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