Hands-On Neural Networks with Keras
This book will intuitively build on the fundamentals of neural networks, deep learning and thoughtfully guide the readers through real-world use cases. You will learn to implement neural networks as well as how to develop and embed intelligence in products and services using the latest open source and industry level tools available in the market.
Offered by
Difficulty Level
Intermediate
Completion Time
15h24m
Language
English
About Book
Who Is This Book For?
This book is for machine learning practitioners, deep learning researchers and AI enthusiasts who are looking to get well versed with different neural network architecture using Keras. Working knowledge of Python programming language is mandatory.
Hands-On Neural Networks with Keras
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h24m total length
Overview of Neural Networks
A Deeper Dive into Neural Networks
Signal Processing - Data Analysis with Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Long Short-Term Memory Networks
Reinforcement Learning with Deep Q-Networks
Autoencoders
Generative Networks
Contemplating Present and Future Developments
Related Resources
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