Course Outline


TensorFlow.js Overview

  • What is TensorFlow.js
  • TensorFlow features
  • Math operations and memory management

Preparing the Development Environment

  • Installing and configuring TensorFlow.js

Running TensorFlow.js

  • Running TensorFlow.js on a browser
  • Running TensorFlow.js under Node.js

Data Preparation

  • Reading and writing to data
  • Preparing features
  • Labeling data
  • Normalizing data
  • Splitting data into test data and training data

Machine Learning Models

  • Creating a model
  • Creating layers
  • Compiling a model

Training and Testing

  • Training models
  • Testing models

Predictions and Regressions

  • Integrating a UI
  • Loading a model
  • Visualizing predictions
  • Creating regressions


  • Working with binary classification
  • Working with multi-class classification

Summary and Conclusion


  • JavaScript programming experience


  • Data Scientists
  14 Hours


Related Courses

Deep Learning with TensorFlow

  21 hours

TensorFlow for Image Recognition

  28 hours

Natural Language Processing (NLP) with TensorFlow

  35 hours

Deep Learning for Vision

  21 hours

Neural Networks Fundamentals using TensorFlow as Example

  28 hours

TPU Programming: Building Neural Network Applications on Tensor Processing Units

  7 hours

Embedding Projector: Visualizing Your Training Data

  14 hours

TensorFlow Serving

  7 hours

Understanding Deep Neural Networks

  35 hours

Deep Learning for NLP (Natural Language Processing)

  28 hours

Applied AI from Scratch

  28 hours

Deep Learning with TensorFlow 2

  21 hours

Fraud Detection with Python and TensorFlow

  14 hours

TensorFlow Extended (TFX)

  21 hours

Kubeflow on OpenShift

  28 hours