
Deep Learning with TensorFlow - Second Edition
Explore neural networks and build intelligent systems with Python
Packt Publishing
Published on 29. March 2018
Book
Paperback/Softback
484 pages
978-1-78883-110-9 (ISBN)
Description
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.
Key Features
Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide
Gain real-world contextualization through some deep learning problems concerning research and application
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
Apply deep machine intelligence and GPU computing with TensorFlow
Access public datasets and use TensorFlow to load, process, and transform the data
Discover how to use the high-level TensorFlow API to build more powerful applications
Use deep learning for scalable object detection and mobile computing
Train machines quickly to learn from data by exploring reinforcement learning techniques
Explore active areas of deep learning research and applications
More details
Edition
Second
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 27 mm
Weight
895 gr
ISBN-13
978-1-78883-110-9 (9781788831109)
Schweitzer Classification
Other editions
Additional editions

Giancarlo Zaccone | Vihan Jain | Md. Rezaul Karim
Deep Learning with TensorFlow
Explore neural networks and build intelligent systems with Python
E-Book
06/2024
2nd Edition
Packt Publishing Limited
€28.99
Available for download
Persons
Giancarlo Zaccone has over fifteen years' experience of managing research projects in the scientific and industrial domains. He is a software and systems engineer at the European Space Agency (ESTEC), where he mainly deals with the cybersecurity of satellite navigation systems.Giancarlo holds a master's degree in physics and an advanced master's degree in scientific computing.Giancarlo has already authored the following titles, available from Packt: Python Parallel Programming Cookbook (First Edition), Getting Started with TensorFlow, Deep Learning with TensorFlow (First Edition), and Deep Learning with TensorFlow (Second Edition).