Autoplay
Autocomplete
Previous Lesson
Complete and Continue
TensorFlow JS Neural Networks Demystified: A Beginner's Guide
Mammoth Interactive Course Introduction
Preface
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
Course Overview
What You'll Learn (7:44)
Source Files
(Prerequisite) Introduction to JavaScript
Introduction To The Course (1:09)
Introduction Of The Instructor (0:36)
Why Should You Learn Javascript (0:51)
Quick Win (0:58)
Course Requirements (0:42)
Source Files
(Prerequisite) Variables and Data Types
What Will We Learn In This Section (0:43)
Variables (10:21)
Data Types (5:39)
Variable Mutation (6:53)
Type Coercion (6:52)
Coding Challenge-6 (1:36)
Coding Challenge Solution (2:42)
Section Summary (0:50)
Source Files
(Prerequisite) Operators
What Will We Learn In This Section (0:35)
Basic Operators (15:34)
Operator Precedence (5:43)
Coding Challenge (2:13)
Coding Challenge Solution (5:52)
Section Summary (0:56)
Source Code
(Prerequisite) Conditional Statements
What Will We Learn In This Section (0:35)
If Else Statements (11:46)
Boolean Logic (7:59)
Switch Statements (10:53)
Truthy And Falsie Values (6:03)
Equality Operators (4:55)
Coding Challenge (2:25)
Coding Challenge Solution (4:54)
Section Summary (1:14)
Source Code
(Prerequisite) Functions and Arrays
What Will We Learn In This Section (0:37)
Functions (9:47)
Function Statements And Expressions (7:38)
Arrays (10:08)
Coding Challenge (3:52)
Section Summary (1:29)
Source Code
(Prerequisite) Objects
What Will We Learn In This Section (0:49)
Objects And Properties (9:49)
Objects And Methods (12:26)
Objects Vs Primitives (16:19)
Coding Challenge (0:52)
Coding Challenge Solution (5:16)
Section Summary (0:44)
Source Code
(Prerequisite) Loops
What Will We Learn In This Section (0:38)
Loops (15:15)
Iteration (12:38)
Coding Challenge (1:05)
Coding Challenge Solution (6:33)
Section Summary (0:49)
Source Files
(Prerequisite) JavaScript Execution
What Will We Learn In This Section (0:57)
JavaScript Parsers And Engines (5:17)
Execution Contexts And Execution Stack (2:27)
Creation And Execution Phases (6:33)
Hoisting (2:14)
Scoping (4:53)
Scope Chain (3:21)
This Keyword (4:15)
Coding Challenge (0:47)
Coding Challenge Solution (3:22)
Source Files
TensorFlow JS Fundamentals
What Is Machine Learning (6:39)
What Is Tensorflow JS (4:27)
Load Tensorflow Object (5:06)
Source Files
Build Your First Tensors
Linear Algebra For Machine Learning (4:44)
Build Tensors (13:33)
Tensor Utility Methods (9:12)
Perform Math With Tensors (9:56)
Source Files
Build Neural Network Components
What Is Deep Learning (6:08)
What Is A Neural Network (8:06)
Build A Perceptron (13:25)
Build A Sigmoid Function (8:01)
Build A Sigmoid Perceptron (7:34)
Build A Relu Activation Function (7:12)
Build A Leaky Relu Activation Function (6:09)
Source Files
Build a Simple Neural Network
Build Neural Network Layers (9:57)
Train And Test The Neural Network (11:24)
Source Files
Build a Neural Network with Cross Validation
Build A Dataset (8:26)
Build A Neural Network (5:35)
Train The Neural Network (10:05)
Make A Prediction With The Neural Network (8:43)
Source Files
Image Classification with a Neural Network
What Is Cross Validation (8:23)
Load A Model Into Html (4:57)
Use A Neural Network In Your Website (8:48)
Show Neural Network Results On Website (5:34)
Source Files
Build a Neural Network for the XOR Algorithm
Build A Dataset For XOR (6:32)
Build A Neural Network For XOR (5:19)
Train And Test The Neural Network (11:06)
Source Files
Use Recurrent Neural Networks with Tensorflow JS
Load An Rnn Into Your Website (5:37)
Set Up The Canvas (7:06)
Draw With A Neural Network (8:50)
Source Files
Detect Objects in Images with a Neural Network
Load An Image For Object Detection (6:13)
Load A Neural Network For Object Detection (6:15)
Outline Objects In The Image (12:17)
Source Files
Build a Deep Neural Network with Backpropagation
Build A Deep Neural Network With Gradient Descent From Scratch (9:21)
Build A Deep Neural Network With Gradient Descent With Tensorflow JS (11:24)
Build A Deep Neural Network With Backpropagation (7:03)
Build The Backpropagation (16:56)
Source Files
Build a Neural Network with Gradient Descent
Reduce Neural Network Error (17:11)
Build A Gradient Descent Algorithm (8:48)
Source Files
Section Summary
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock