Building Machine Learning Web Apps with Tensorflow

Introduction:

TensorFlow.js, an open-source Javascript library you can use to define, train, and run machine learning models entirely in a browser, using Javascript and a high-level layers API. Tensofflow.js is based on Tensorflow, the most popular machine learning framework in the world. If you’re a Javascript developer who’s new to Machine Learning, TensorFlow.js is a great way to begin learning Machine Learning. You can build interactive Machine Learning web apps using Tensorflow.js

In this course, you will learn the basic operations and applications of Tensorflow.js

Course Objectives:

  • Neural Network with Tensorflow.js
  • Regression with Tensorflow.js
  • Classification with Tensorflow.js
  • Import Keras models to Tensorflow.js

Duration

7 hours, 1 Day Course

Mode of Delivery

Classroom-based, Instructor-led Training

Course Outlines

  1. Getting Started on Tensorflow.js
    1. What is Tensorflow.js
    2. Try Tensorflow.js Demo
    3. Install Tensorflow.js
  2. Tensorflow.js Basics
    1. Tensors
    2. Variables
    3. Operators
    4. Memory Management
  3. Regression
    1. What is Regression
    2. Build a Linear Regressor with Tensorflow.js
    3. Data Visualisation using Chart.js
  4. Neural Network
    1. What is Neural Network
    2. Build a Neural Network Regressor with Tensorflow.js
  5. Classification
    1. What is Classification
    2. Build a Neural Network Classifier with Tensorflow.js