Keras Deep Learning Cookbook / Dua, Rajdeep.

Format:

Book

Author/Creator:

Dua, Rajdeep, author.

Ghotra, Manpreet, author.

Language:

English

Subjects (All):

Python (Computer program language).

Machine learning.

Neural networks (Computer science).

Artificial intelligence.

Physical Description:

1 online resource (252 pages)

Edition:

1st edition

Place of Publication:

Packt Publishing, 2018.

System Details:

text file

Summary:

Leverage the power of deep learning and Keras to develop smarter and more efficient data models Key Features Understand different neural networks and their implementation using Keras Explore recipes for training and fine-tuning your neural network models Put your deep learning knowledge to practice with real-world use-cases, tips, and tricks Book Description Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy. The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. From loading data to fitting and evaluating your model for optimal performance, you will work through a step-by-step process to tackle every possible problem faced while training deep models. You will implement convolutional and recurrent neural networks, adversarial networks, and more with the help of this handy guide. In addition to this, you will learn how to train these models for real-world image and language processing tasks. By the end of this book, you will have a practical, hands-on understanding of how you can leverage the power of Python and Keras to perform effective deep learning What you will learn Install and configure Keras in TensorFlow Master neural network programming using the Keras library Understand the different Keras layers Use Keras to implement simple feed-forward neural networks, CNNs and RNNs Work with various datasets and models used for image and text classification Develop text summarization and reinforcement learning models using Keras Who this book is for Keras Deep Learning Cookbook is for you if you are a data scientist or machine learning expert who wants to find practical solutions to common problems encountered while training deep learning models. A basic understanding of Python and some experience in machine learning and neural networks is required for this book.

Contents:

Cover

Title Page

Copyright and Credits

Packt Upsell

Contributors

Table of Contents

Preface

Chapter 1: Keras Installation

Introduction

Installing Keras on Ubuntu 16.04

Getting ready

How to do it...

Installing miniconda

Installing numpy and scipy

Installing mkl

Installing TensorFlow

Installing Keras

Using the Theano backend with Keras

Installing Keras with Jupyter Notebook in a Docker image

Installing the Docker container

Installing the Docker container with the host volume mapped

Installing Keras on Ubuntu 16.04 with GPU enabled

Installing cuda

Installing cudnn

Installing NVIDIA CUDA profiler tools interface development files

Installing the TensorFlow GPU version Generated by AI.

Notes:

Includes bibliographical references.

Online resource; Title from title page (viewed October 31, 2018)

Part of the metadata in this record was created by AI, based on the text of the resource.

OCLC:

1089811466