Preface
TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach.
In this book, you'll understand how ML models can be built on the web. Moving on, you will get to grips with using the TensorFlow.js ecosystem to develop applications more efficiently. The book will then guide you through implementing ML techniques and algorithms such as regression, clustering, fast Fourier transform (FFT), and dimensionality reduction. You will later use the Bellman equation to solve Markov decision process (MDP) problems and understand how it is related to ...
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