Google Artificial Intelligence for JavaScript Developers with TensorFlow JavaScript

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                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study

                                    Mode of Delivery
                                    Video and Text Based

                                    Learning efforts
                                    3-4 Hours Per Week
                                

Chapter 4 Introduction
Lesson 1: Rolling Your Custom Models
Lesson 2: Training / Testing / Validation Datasets
Lesson 3.1: Perceptrons and Neurons
Lesson 3.2: Training Neurons
Lesson 4.1: Implementing a Neuron for Linear Regression - Analyzing Data
Lesson 4.2: Implementing a Neuron for Linear Regression - Importing and Normalizing Data
Lesson 4.3: Implementing a Neuron for Linear Regression - Model Creation and Training
Chapter 4 Graded Quiz 1
Lesson 5.1: Multi-Layer Perceptrons - Finding the Limits of a Single Neuron
Lesson 5.2: Multi-Layer Perceptron - Neural Networks for More Complex Non-Linear Data
Lesson 6.1: Multi-Layer Perceptrons for Classification
Lesson 6.2: Implementing a Classifier Using a Multi-Layer Perceptron
Chapter 4 Technical Assessment: Make a Multilayered Perceptron for Classification
Lesson 7.1: Beyond Perceptrons - Convolutional Neural Networks
Lesson 7.2: Implementing a Convolutional Neural Network
Chapter 4 Graded Quiz 2
Chapter 4: Graded Discussion Prompt: Investigate and Discuss Three Pre-Trained Models

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