E-book details

Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks

Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks

Paolo Galeone

Ebook
TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers.

This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting familiar with the concepts and techniques required to build solutions to deep learning problems. As you advance, you’ll learn how to create classifiers, build object detection and semantic segmentation networks, train generative models, and speed up the development process using TF 2.0 tools such as TensorFlow Datasets and TensorFlow Hub.

By the end of this TensorFlow book, you'll be ready to solve any machine learning problem by developing solutions using TF 2.0 and putting them into production.
  • 1. What is Machine Learning?
  • 2. Neural Networks and Deep Learning
  • 3. TensorFlow Graph Architecture
  • 4. TensorFlow 2.0 Architecture
  • 5. Efficient Data Input Pipelines and Estimator API
  • 6. Image Classification using TensorFlow Hub
  • 7. Introduction to Object Detection
  • 8. Semantic Segmentation and Custom Dataset Builder
  • 9. Generative Adversarial Networks
  • 10. Bringing a Model to Production
  • Title: Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks
  • Author: Paolo Galeone
  • Original title: Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks
  • ISBN: 9781789613797, 9781789613797
  • Date of issue: 2019-09-18
  • Format: Ebook
  • Item ID: e_2axj
  • Publisher: Packt Publishing