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TensorFlow.js Mastery: Advanced Machine Learning Techniques
Mammoth Interactive Courses Introduction
Preface
01. About Mammoth Interactive (1:12)
02. How To Learn Online Effectively (13:46)
Source Files
(Prerequisite) Introduction to HTML
01. Course Requirements (2:55)
02. What Is JSbin (3:15)
03. Setting Up The Html Document (2:41)
04. Header Tags And Paragraphs Tags (4:06)
05. Styles (3:32)
06. Bold Underline And Italic Tags (3:10)
07. Adding In A Link (1:38)
08. Adding In A Image (3:00)
09. Adding A Link To An Image (1:54)
10. Lists (4:03)
11. Tables (3:29)
12. Different Kinds Of Input (4:59)
13. Adding In A Submit Button (3:01)
14. Scripts And Style Tags (3:27)
(Prerequisite) Introduction to CSS
01. Course Requirements (3:41)
02. HTML Styles Crash Course (4:45)
03. Adding Code To The CSS (4:46)
04. Adding In IDs To The CSS (5:16)
05. Classes In CSS (2:39)
06. Font Families (5:04)
07. Colors In CSS (5:44)
08. Padding In CSS (3:06)
09. Text Align And Transforms (3:14)
10. Margins And Width (5:33)
11. Changing The Body (4:11)
12. Latin Text Generator (1:57)
13. Adding In A Horizontal Menu With Html And Css (7:53)
14. Adding A Background Image (4:04)
15. Playing Around With Margins In CSS (2:20)
(Prerequisite) Introduction to JavaScript
01. Course Requirements (4:44)
02. Html, CSS And Javascript Crash Course (4:53)
03. Adding In Functions (4:35)
04. Scaling Functions (4:27)
05. Changing The Text In Javascript (4:50)
06. Variables (5:40)
07. Arrays (5:30)
08. Objects (6:36)
09. Variable Scope (5:04)
10. Adding User Input Text (5:05)
11. Calling Functions (3:56)
12. If Statements (4:49)
13. Else If And Else Statements (4:05)
14. Changing The Style With Javascript (5:49)
TensorFlow JS Fundamentals
01. What Is Machine Learning (13:46)
02. What Is Tensorflow JS (4:29)
03. Load Tensorflow Object (5:08)
Source Files
Build Your First Tensors
01. Linear Algebra For Machine Learning (4:46)
02. Build Tensors (13:35)
03. Tensor Utility Methods (9:14)
04. Perform Math With Tensors (9:57)
Source Files
Identify Text Toxicity Scores
01. Load The Model With Text (4:18)
02. View Model Results Of Text Toxicity (6:39)
03. Clean Up Prediction Results (6:18)
Source Files
Build a Speech Recognition Drawing Site
01. Set Up The Speed Recognition Model (5:59)
02. Set Up The Canvas- (3:26)
03. Classify Words Through Microphone (6:55)
04. Draw From User Commands (7:35)
05. Optimize The Drawing (5:53)
Source Files
Manage TensorFlow Memory
01. Tidy Tensors (6:26)
02. Keep Tensors (3:10)
03. Dispose Tensors (2:41)
04. Build A Memory Leak Example (4:35)
Source Files
Build a Housing Linear Regression Project
01. Load JSON Data (7:33)
02. Convert JSON Data To Tensor (9:08)
03. Visualize Dataset With Tf-Vis (5:37)
04. Build And Train Model (10:22)
05. Visualize Model's Training Epochs (9:12)
06. Make A Prediction (13:49)
07. Visualize Prediction (9:09)
Source Files
06 Build a Model on a Large Dataset
01. Load Dataset From Json File (6:48)
02. Visualize Dataset's Features (9:26)
03. Build A Multi Layer Model (7:42)
04. Extract Inputs And Outputs (7:10)
05. Normalize Data (4:46)
06. Train The Model (6:01)
07. Evaluate Model Performance (6:12)
Source Files
Build a Logistic Regression Model
01. What Is Logistic Regression (4:32)
02. Calculate Logistic Regression Accuracy (5:20)
03. Build A Logistic Regression Model (7:08)
04. Train The Logistic Regression Model (15:20)
05. Visualize Logistic Regression Results (12:52)
06. Visualize Original Data (12:13)
07. Visualize Model Error (7:37)
Source Files
Visualize Fast Fourier Transform
01. What Is Fast Fourier Transform (2:42)
02. Build And Visualize A Dataset\ (10:48)
03. Visualize Frequencies With Fast Fourier Transform (11:53)
04. Visualize Inverse Fast Fourier Transform (5:44)
Source Files
Visualize Principal Component Analysis
01. What Is Principal Component Analysis (6:13)
02. Build Principal Component Analysis (6:24)
03. Calculate Variance Of Data And Principal Component Analysis (9:28)
04. Visualize Data Slices (12:01)
05. Visualize Principal Component Analysis Results (3:03)
Source Files
07. Visualize Model Error
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