Deep Learning with JavaScript: Neural networks in TensorFlow.js shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.
Book Description
Topics included: Deep Learning and JavaScript • Getting Started: Simple Linear Regression in TensorFlow.js • Adding Nonlinearity: Beyond Weighted Sums • Recognizing Images and Sounds Using Convolutional Neural Networks • Transfer Learning: Reusing Pretrained Neural Networks • Working with Data • Visualizing Data and Models • Underfitting, Overfitting, and the Universal Workflow of Machine Learning • Deep Learning for Sequences and Text • Generative Deep Learning • Basics of Deep Reinforcement Learning • Testing, Optimizing, and Deploying Models • Summary, Conclusions, and Beyond
Download Free PDF / Read Online
Publisher: Manning Publications
Published: December 2019
Format(s): HTML (Online)
File size: –
Number of pages: 350 pages
Download / View Link(s): Read online