Tony Holdroyd - Tensorflow 2.0 Quick Start Guide

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Tony Holdroyd's first degree, from Durham University, was in maths and physics. He also has technical qualifications, including MCSD, MCSD.net, and SCJP. He holds an MSc in computer science from London University. He was a senior lecturer in computer science and maths in further education, designing and delivering programming courses in many languages, including C, C+, Java, C#, and SQL. His passion for neural networks stems from research he did for his MSc thesis. He has developed numerous machine learning, neural network, and deep learning applications, and has advised in the media industry on deep learning as applied to image and music processing. Tony lives in Gravesend, Kent, UK, with his wife, Sue McCreeth, who is a renowned musician.

Sujit Pal is a technology research director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His areas of interests include semantic research, Natural Language Processing (NLP), machine learning, and deep learning. At Elsevier, he has worked on several machine learning initiatives involving large image and text corpora, and other initiatives concerning recommendation systems and knowledge graph development. He has co-authored a book called Deep Learning with Keras with Antonio Gulli, and writes about technology on his blog, Salmon Run.

Narotam Singh recently took voluntary retirement from his post of meteorologist with the Indian Meteorological Department, Ministry of Earth Sciences, to pursue his dream of learning and helping society. He has been actively involved with various technical programs and the training of GOI officers in the field of IT and communication. He did his master's in the field of electronics, having graduated with a degree in physics. He also holds a diploma and a postgraduate diploma in the field of computer engineering. Presently, he works as a freelancer. He has many research publications to his name and has also served as a technical reviewer for numerous books. His present research interests involve AI, ML, DL, robotics, and spirituality .

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TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of the latest features of TensorFlow, and will be able to perform supervised and unsupervised machine learning using Python.

As its title suggests, this book has been written to introduce readers to TensorFlow and many of its latest features, up to and including version 2.0.0 alpha, including eager execution, tf.data, tf.keras, TensorFlow Hub, machine learning, and neural network applications.

This book is intended to be useful for anyone with some exposure to machine learning and its applications: data scientists, machine learning engineers, computer scientists, computer science students, and hobbyists.

, Introducing TensorFlow 2 , introduces TensorFlow by looking at a number of snippets of code, illustrating some basic operations. We will have an overview of the modern TensorFlow ecosystem and will see how to install TensorFlow.