Pro Deep Learning with TensorFlow A Mathematical Approach to Advanced Artificial Intelligence in Python /

• Main Author: Pattanayak, Santanu (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2017.
• Subjects: Computer science.; Computers.; Computer Science.; Computing Methodologies.; Big Data.; Python.

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you...

Table of Contents:

• Chapter 1: Mathematical Foundations
• Chapter 2: Introduction to Deep Learning Concepts and TensorFlow
• Chapter 3: Convolutional Neural Networks
• Chapter 4: Natural Language Processing Using Recursive Neural Networks
• Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders
• Chapter 6: Advanced Neural Networks.