Hands-On Neural Networks with TensorFlow 2.0

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

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