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Deep Learning with TensorFlow 2.0 in 7 Steps

You're reading from Deep Learning with TensorFlow 2.0 in 7 Steps Learn image classification and language modeling

Product type Video

Published in Sep 2019

Publisher Packt

ISBN-13 9781789958614

Length 2hrs 44mins

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Deep Learning

Author (1):

Robert Thas John

View More author details

Table of Contents (7) Chapters

1. Getting Started FREE CHAPTER

2. Why Deep Learning?

3. Image Classification

4. Sequence Models

5. Sequence Models with Temperature Data

6. Transfer Learning

7. Beyond Basic Neural Networks

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Authors (1)

Robert Thas John

Robert Thas John

Robert Thas John is a data engineer with a career that spans two decades. He manages a team of data engineers, analysts, and machine learning engineers – roles that he has held in the past. He leads a number of efforts aimed at increasing the adoption of machine learning on embedded devices through various programs from Google Developers and ARM Ltd, which licenses the chips found in Arduinos and other microcontrollers. He started his career as a software engineer with work that has spanned various industries. His first experience with embedded systems was in programming payment terminals.

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