Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python 2nd Edition

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python 2nd Edition – Ebook Instant Download/Delivery ISBN(s): 9781484289303,1484289307,9781484289310, 1484289315

Product details:

• ISBN-10: 1484289315
• ISBN-13: 9781484289310
• Author: Santanu Pattanayak

This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. You’ll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general.

Table contents:

1. Mathematical Foundations
2. Introduction to Deep-Learning Concepts and TensorFlow
3. Convolutional Neural Networks
4. Natural Language Processing
5. Unsupervised Learning with Restricted Boltzmann Machines and Autoencoders
6. Advanced Neural Networks

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