Browser-based Models with TensorFlow.js

This course is part of TensorFlow: Data and Deployment Specialization

Instructor: Laurence Moroney

What you'll learn

  •   Train and run inference in a browser
  •   Handle data in a browser
  •   Build an object classification and recognition model using a webcam
  • Skills you'll gain

  •   Tensorflow
  •   Web Applications
  •   Real Time Data
  •   Artificial Neural Networks
  •   Computer Vision
  •   Data Processing
  •   Javascript
  •   Image Analysis
  •   Applied Machine Learning
  •   JSON
  •   Deep Learning
  • There are 4 modules in this course

    In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

    Image Classification In the Browser

    Converting Models to JSON Format

    Transfer Learning with Pre-Trained Models

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