Hands-On Machine Learning with TensorFlow.js

TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With Hands-On Machine Learning with TensorFlow.js, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach. (Limited-time offer)

Table of Contents

• Section 1: The Rationale of Machine Learning and the Usage of TensorFlow.js
• Machine Learning for the Web
• Importing Pretrained Models into TensorFlow.js
• TensorFlow.js Ecosystem
• Section 2: Real-World Applications of TensorFlow.js
• Polynomial Regression
• Classification with Logistic Regression
• Unsupervised Learning
• Sequential Data Analysis
• Dimensionality Reduction
• Solving the Markov Decision Process
• Section 3: Productionizing Machine Learning Applications with TensorFlow.js
• Deploying Machine Learning Applications
• Tuning Applications to Achieve High Performance
• Future Work Around TensorFlow.js

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