Deep Learning with Keras

Deep Learning with Keras
Author :
Publisher : Packt Publishing Ltd
Total Pages : 310
Release :
ISBN-10 : 9781787129030
ISBN-13 : 1787129039
Rating : 4/5 (30 Downloads)

Book Synopsis Deep Learning with Keras by : Antonio Gulli

Download or read book Deep Learning with Keras written by Antonio Gulli and published by Packt Publishing Ltd. This book was released on 2017-04-26 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how various deep-learning models and practical use-cases can be implemented using Keras A practical, hands-on guide with real-world examples to give you a strong foundation in Keras Who This Book Is For If you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book. What You Will Learn Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm Fine-tune a neural network to improve the quality of results Use deep learning for image and audio processing Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases Identify problems for which Recurrent Neural Network (RNN) solutions are suitable Explore the process required to implement Autoencoders Evolve a deep neural network using reinforcement learning In Detail This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer. Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks. Style and approach This book is an easy-to-follow guide full of examples and real-world applications to help you gain an in-depth understanding of Keras. This book will showcase more than twenty working Deep Neural Networks coded in Python using Keras.


Deep Learning with Keras Related Books

Deep Learning with Keras
Language: en
Pages: 310
Authors: Antonio Gulli
Categories: Computers
Type: BOOK - Published: 2017-04-26 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book Implement various deep-learning algorithms in Keras a
Deep Learning with Python
Language: en
Pages: 597
Authors: Francois Chollet
Categories: Computers
Type: BOOK - Published: 2017-11-30 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and G
Learn Keras for Deep Neural Networks
Language: en
Pages: 192
Authors: Jojo Moolayil
Categories: Computers
Type: BOOK - Published: 2018-12-07 - Publisher: Apress

DOWNLOAD EBOOK

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 app
Advanced Deep Learning with Keras
Language: en
Pages: 369
Authors: Rowel Atienza
Categories: Computers
Type: BOOK - Published: 2018-10-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existence Key Features Explore the most advanced dee
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Language: en
Pages: 851
Authors: Aurélien Géron
Categories: Computers
Type: BOOK - Published: 2019-09-05 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about