Deep Learning & Machine Learning Masterclass w/ TensorFlowJS

Course Curriculum

Chapter 1: 00a Mammoth Interactive Courses Introduction

Lecture 1: 00 About Mammoth Interactive

Lecture 2: 01 How To Learn Online Effectively

Lecture 3: Source Files

Chapter 2: 00b (Prerequisite) Introduction to HTML

Lecture 1: 01. Course Requirements

Lecture 2: 02. What Is JSbin

Lecture 3: 03. Setting Up The HTML Document

Lecture 4: 04. Header Tags And Paragraphs Tags

Lecture 5: 05. Styles

Lecture 6: 06. Bold Underline And Italic Tags

Lecture 7: 07. Adding In A Link

Lecture 8: 08. Adding In A Image

Lecture 9: 09. Adding A Link To An Image

Lecture 10: 10. Lists

Lecture 11: 11. Tables

Lecture 12: 12. Different Kinds Of Input

Lecture 13: 13. Adding In A Submit Button

Lecture 14: 14. Scripts And Style Tags

Chapter 3: 01b (Prerequisite) Introduction to CSS

Lecture 1: 01. Course Requirements

Lecture 2: 02. HTML Styles Crash Course

Lecture 3: 03. Adding Code To The CSS

Lecture 4: 04. Adding In IDs To The CSS

Lecture 5: 05. Classes In CSS

Lecture 6: 06. Font Families

Lecture 7: 07. Colors In CSS

Lecture 8: 08. Padding In CSS

Lecture 9: 09. Text Align And Transforms

Lecture 10: 10. Margins And Width

Lecture 11: 11. Changing The Body

Lecture 12: 12. Latin Text Generator

Lecture 13: 13. Adding In A Horizontal Menu With HTML And CSS

Lecture 14: 14. Adding A Background Image

Lecture 15: 15. Playing Around With Margins In CSS

Chapter 4: 01a (Prerequisite) Introduction to Javascript

Lecture 1: 01. Course Requirements

Lecture 2: 02. Html, CSS And Javascript Crash Course

Lecture 3: 03. Adding In Functions

Lecture 4: 04. Scaling Functions

Lecture 5: 05. Changing The Text In Javascript

Lecture 6: 06. Variables

Lecture 7: 07. Arrays

Lecture 8: 08. Objects

Lecture 9: 09. Variable Scope

Lecture 10: 10. Adding User Input Text

Lecture 11: 11. Calling Functions

Lecture 12: 12. If Statements

Lecture 13: 13. Else If And Else Statements

Lecture 14: 14. Changing The Style With Javascript

Chapter 5: 01c TensorFlow JS Fundamentals

Lecture 1: 01 What Is Machine Learning

Lecture 2: 02 What Is Tensorflow JS

Lecture 3: 03 Load Tensorflow Object

Lecture 4: Source Files

Chapter 6: 01d Build Your First Tensors

Lecture 1: 00 Linear Algebra For Machine Learning

Lecture 2: 01 Build Tensors

Lecture 3: 02 Tensor Utility Methods

Lecture 4: 03 Perform Math With Tensors

Lecture 5: Source Files

Chapter 7: 01e What is a Neural Network

Lecture 1: 00A What Is Deep Learning

Lecture 2: 00B What Is A Neural Network

Lecture 3: Source Files

Chapter 8: 02 Build a Neural Network with One Hot Encoding

Lecture 1: 00 What Is One Hot Encoding

Lecture 2: 01 Build Training Data

Lecture 3: 02 Build The Neural Network

Lecture 4: 03 Train The Neural Network

Lecture 5: 04 Make A Prediction

Lecture 6: Source Files

Chapter 9: 03 Build a Neural Network to Detect Lines in Images

Lecture 1: 01 Build Training Data To Represent Images

Lecture 2: 02 Build The Convolutional Neural Network

Lecture 3: 03 Train The Convolutional Neural Network

Lecture 4: 04 Make A Prediction Of Number Of Lines-4

Lecture 5: Source Files

Chapter 10: 04 Build an LSTM Recurrent Neural Network

Lecture 1: 00 What Is A Recurrent Neural Network

Lecture 2: 01 Generate Sequence And Label

Lecture 3: 02 Generate Dataset

Lecture 4: 03 Build The LSTM Model

Lecture 5: 04 Train The Model

Lecture 6: Source Files

Chapter 11: 05 Build a Model to Classify Iris Species

Lecture 1: 01 Process Iris Data

Lecture 2: 02 Convert Data To Tensors

Lecture 3: 03 Separate Training And Testing Data

Lecture 4: 04 Create Training And Testing Datasets

Lecture 5: 05 Build The Model

Lecture 6: 06 Train The Model

Lecture 7: 07 Make A Prediction

Lecture 8: Source Files

Chapter 12: 06 Build a Positive vs Negative Text Classifier

Lecture 1: 01 Load Model And Dataset

Lecture 2: 02 Get User Input For Sentiment Analysis

Lecture 3: 03 Make A Prediction

Lecture 4: Source Files

Chapter 13: 07 Build a Neural Network to Recognize Handwriting