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
Download Free PDF / Read Online
Author(s): Kai Sasaki
Publisher: Packt Publishing
Published: November 2019
Format(s): Online
File size: –
Number of pages: 296
Download / View Link(s): This offer has ended.
Free as of 09/09/2022.
Publisher: Packt Publishing
Published: November 2019
Format(s): Online
File size: –
Number of pages: 296
Download / View Link(s): This offer has ended.
Free as of 09/09/2022.