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Implementing Deep Learning Algorithms with TensorFlow 2.0

You're reading from Implementing Deep Learning Algorithms with TensorFlow 2.0 Dive into deep learning with the newest and most improved version of TensorFlow 2.0

Product type Video

Published in May 2019

Publisher Packt

ISBN-13 9781789950496

Length 2hrs 16mins

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Deep Learning

Author (1):

Harveen Singh Chadha

View More author details

Table of Contents (6) Chapters

1. Deep Learning Introduction and Environment Setup FREE CHAPTER

2. Building First Neural Network for Tabular Data with TensorFlow 2.0

3. Convolutional Neural Networks with TensorFlow 2.0

4. Recurrent Neural Network with TensorFlow 2.0

5. Long Short-Term Memory Networks (LSTM)

6. Transfer Learning with TensorFlow 2.0

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Authors (1)

Harveen Singh Chadha

Harveen Singh Chadha

Harveen Singh Chadha is an experienced researcher in deep learning and is currently working as a self-driving car engineer. He is focused on creating an advanced driver assistance systems (ADAS) platform. His passion is to help people who want to enter the data science universe. He is the author of the video course Hands-On Neural Network Programming with TensorFlow.

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