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 ...

In machine learning, on the other hand, we give the computer some data, ... TensorFlow supports machine learning, neural networks, and deep learning in the larger context of data flow graphs.

This is the code repository for Hands-On Machine Learning with Scikit-Learn and TensorFlow 2.0 [Video], published by Packt. It contains all the supporting project files necessary to work through the ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

But reviewing one is not an easy feat either, especially when it’s a highly acclaimed title such as Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and ...

Exploring machine learning with TensorFlow on Ubuntu opens a world of possibilities. Whether you're a beginner or an experienced practitioner, the combination of TensorFlow's powerful features and ...

This hands-on machine learning book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and ...

Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, ... Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent ...

Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.

TensorFlow is designed for deep learning and complex neural networks. As such, it is more appropriate for large amounts of data with complex models. On the other hand, Scikit-learn handles classical ...