Learn Keras for Deep Neural Networks A Fast-Track Approach to Modern Deep Learning with Python /

• Main Author: Moolayil, Jojo (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Open source software.; Computer programming.; Python (Computer program language).; Artificial Intelligence.; Open Source.; Python.

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in...

Table of Contents:

• Chapter 1: Deep Learning & Keras
• Chapter 2: Keras in Action
• Chapter 3: Deep Neural networks for Supervised Learning
• Chapter 4: Measuring Performance for DNN
• Chapter 5: Hyperparameter Tuning & Model Deployment
• Chapter 6: The Path Forward.