Deep Learning with TensorFlow - Second Edition: Explore neural networks and build intelligent systems with Python Contributor(s): Zaccone, Giancarlo (Author), Karim, MD Rezaul (Author) |
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ISBN: 1788831101 ISBN-13: 9781788831109 Publisher: Packt Publishing OUR PRICE: $41.79 Product Type: Paperback Published: March 2018 |
Additional Information |
BISAC Categories: - Computers | Web - Web Programming - Computers | Programming Languages - Javascript - Computers | Software Development & Engineering - General |
Physical Information: 0.97" H x 7.5" W x 9.25" (1.82 lbs) 484 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow. Key Features
Book Description Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks. This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. Throughout the book, you'll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way. You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects. What you will learn
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