Applied Neural Networks with TensorFlow 2 : API Oriented Deep Learning with Python /

Implement deep learning applications using TensorFlow while learning the "why" through in-depth conceptual explanations. You'll start by learning what deep learning offers over other machine learning models. Then familiarize yourself with several technologies used to create deep learn...

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Bibliographic Details
Main Author:	Yalçın, Orhan Gazi (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Berkeley, CA : Apress : Imprint: Apress, 2021.
Edition:	1st ed. 2021.
Subjects:	Artificial intelligence. Artificial Intelligence. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1: Introduction
Chapter 2: Introduction to Machine Learning
Chapter 3: Deep Learning and Neutral Networks Overview
Chapter 4: Complimentary Libraries to TensorFlow 2.x
Chapter 5: A Guide to TensorFlow 2.0 and Deep Learning Pipeline
Chapter 6: Feedfoward Neutral Networks
Chapter 7: Convolutional Neural Networks
Chapter 8: Recurrent Neural Networks
Chapter 9: Natural Language Processing
Chapter 10: Recommender Systems
Chapter 11: Auto-Encoders
Chapter 12: Generative Adversarial Networks.