
Deep Learning with TensorFlow
Explore neural networks with Python
Packt Publishing
Published on 27. April 2017
Book
Paperback/Softback
320 pages
978-1-78646-978-6 (ISBN)
Description
Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide
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
Real-world contextualization through some deep learning problems concerning research and application
Book Description:
Deep learning is the step that comes after machine learning, and has more advanced
implementations. Machine learning is not just for academics anymore, but is becoming a mainstream practice through wide adoption, and deep learning has taken the front seat. As a data scientist, if you want to explore data abstraction layers, this book will be your guide. This book shows how this can be exploited in the real world with complex raw data using TensorFlow 1.x.
Throughout the book, you'll learn how to implement deep learning algorithms for machine learning systems and integrate them into your product offerings, including
search, image recognition, and language processing. Additionally, you'll learn how
to analyze and improve the performance of deep learning models. This can be done by
comparing algorithms against benchmarks, along with machine intelligence, to learn
from the information and determine ideal behaviors within a specific context.
After finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects.
What You Will Learn:Learn about machine learning landscapes along with the historical development and progress of deep learning
Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x
Access public datasets and utilize them using TensorFlow to load, process, and transform data
Use TensorFlow on real-world datasets, including images, text, and more
Learn how to evaluate the performance of your deep learning models
Using 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
Who this book is for:
The book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 18 mm
Weight
600 gr
ISBN-13
978-1-78646-978-6 (9781786469786)
Schweitzer Classification
Other editions
Additional editions

Giancarlo Zaccone | Fabrizio Milo | Md. Rezaul Karim
Deep Learning with TensorFlow
Explore neural networks with Python
E-Book
06/2024
1st Edition
Packt Publishing Limited
€48.49
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).