You're reading from Deep Learning with TensorFlow

Product typeBook

Published inApr 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781786469786

Edition1st Edition

Languages

Python

Tools

TensorFlow Keras

Concepts

Deep Learning

Authors (3):

Giancarlo Zaccone

Md. Rezaul Karim

Ahmed Menshawy

View More author details

Introducing Keras

Keras is a minimalist, high-level neural networks library, capable of running on top of TensorFlow. It was developed with a focus on enabling easy and fast prototyping and experimentation. Keras runs on Python 2.7 or 3.5, and can seamlessly execute on GPUs and CPUs given the underlying frameworks. It is released under the MIT license.

Keras was developed and maintained by François Chollet, a Google engineer, following these design principles:

Modularity: A model is understood as a sequence or a graph of the standalone, fully configurable modules that can be plugged together with as few restrictions as possible. Neural layers, cost functions, optimizers, initialization schemes, and activation functions are all standalone modules that can be combined to create new models.
Minimalism: Each module must be short (few lines of code) and simple. The source code should be transparent upon the dirt...

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Deep Learning with TensorFlow

Published in: Apr 2017Publisher: PacktISBN-13: 9781786469786

Authors (3)

Giancarlo Zaccone

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).
Read more about Giancarlo Zaccone

Md. Rezaul Karim

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
Read more about Md. Rezaul Karim

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.
Read more about Ahmed Menshawy

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