Hands-On Neural Networks with TensorFlow 2.0 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. (Limited-time offer)
Table of Contents
- Section 1: Neural Network Fundamentals
- What is Machine Learning?
- Neural Networks and Deep Learning
- Section 2: TensorFlow Fundamentals
- TensorFlow Graph Architecture
- TensorFlow 2.0 Architecture
- Efficient Data Input Pipelines and Estimator API
- Section 3: The Application of Neural Networks
- Image Classification Using TensorFlow Hub
- Introduction to Object Detection
- Semantic Segmentation and Custom Dataset Builder
- Generative Adversarial Networks
- Bringing a Model to Production
Download Free PDF / Read Online
Author(s): Paolo Galeone
Publisher: Packt Publishing
Published: September 2019
Format(s): Online
File size: –
Number of pages: 358
Download / View Link(s): This offer has ended.
Free as of 06/27/2023.
Publisher: Packt Publishing
Published: September 2019
Format(s): Online
File size: –
Number of pages: 358
Download / View Link(s): This offer has ended.
Free as of 06/27/2023.