Switch to the store?

Deep Learning with TensorFlow

More Information
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
About

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.

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
Page Count 320
Course Length 9 hours 36 minutes
ISBN9781786469786
Date Of Publication 23 Apr 2017

Authors

Giancarlo Zaccone

Giancarlo Zaccone has over ten years of experience in managing research projects in scientific and industrial areas.

Giancarlo worked as a researcher at the CNR, the National Research Council of Italy. As part of his data science and software engineering projects, he gained experience in numerical computing, parallel computing, and scientific visualization. Currently, Giancarlo is a senior software and system engineer, based in the Netherlands. Here he tests and develops software systems for space and defense applications. Giancarlo holds a master's degree in Physics from the Federico II of Naples and a 2nd level postgraduate master course in Scienti fi c Computing from La Sapienza of Rome.

Giancarlo is the author of the following books: Python Parallel Programminng Cookbook, Getting Started with TensorFlow, Deep Learning with TensorFlow, all by Packt Publishing.

Md. Rezaul Karim

Md. Rezaul Karim is a Research Scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Aachen, Germany. He has more than 8 years' experience in the area of research and development with a solid understanding of algorithms and data structures in C, C++, Java, Scala, R, and Python.

Ahmed Menshawy

Ahmed Menshawy is a Research Engineer at the Trinity College Dublin, Ireland. He has more than 5 years of working experience in the area of ML and NLP. He holds an MSc in Advanced Computer Science. He started his Career as a Teaching Assistant at the Department of Computer Science, Helwan University, Cairo, Egypt. He taught several advanced ML and NLP courses such as ML, Image Processing, and so on. He was involved in implementing the state-of-the-art system for Arabic Text to Speech. He was the main ML specialist at the Industrial research and development lab at IST Networks, based in Egypt.