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

Book Name: Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python
Author: Jojo John Moolayil
Publisher: Apress
ISBN-10: 1484242394
Year: 2019
Pages: 182 / 192
Language: English
File size: 2.74 MB
File format: PDF

Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python Pdf Book Description:

Learn, understand, and execute deep neural networks at a mathematics – and – programming-friendly strategy using Keras and Python. The publication focuses in an end-to-end method of creating supervised learning algorithms in regression and classification with sensible business-centric use-cases implemented in Keras. The general book contains three segments using two chapters in each section. The very first segment reminds you with all the required basics to begin in profound learning. Chapter 1 introduces you into the world of profound learning and its difference from machine learning, the options of frameworks for profound learning, as well as also the Keras ecosystem.

You may pay for a real-life business issue which may be solved by supervised learning algorithms with neural networks that are deep. Afterwards, you will observe an intriguing and challenging portion of profound learning: hyperparameter tuning; assisting you further enhance your units when constructing robust deep learning software. Last, you’ll further hone your abilities in profound learning and cover regions of active growth and study in profound learning. In the conclusion of Learn Keras to get Deep Neural Networks, you’ll have a comprehensive comprehension of profound learning fundamentals and possess practical hands-on knowledge in creating enterprise-grade profound learning options in Keras.