Advanced Machine Learning with TensorFlow.js
Mastering Advanced Machine Learning Techniques with TensorFlow.js
Created by John Bura
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Skill level
All levels
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Sections
13
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Lectures
91
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Instructor
John Bura
What's inside
This course includes.
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13
Sections
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91
Lectures
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91
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 00a (Prerequisite) Introduction to HTML 14 lectures
01 Course Requirements
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02 What is Jsbin
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03 Setting Up the HTML Document
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04 Header Tags and Paragraphs Tags
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05 Styles
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06 Bold Underline and Italic Tags
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07 Adding in a Link
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08 Adding in a Image
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09 Adding a Link to an Image
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10 Lists
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11 Tables
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13 Different Kinds of Input
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14 Adding in a Submit Button
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15 Scripts and Style Tags
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+ 00a (Prerequisite) Introduction to CSS 15 lectures
01 Course Requirements
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02 HTML Styles Crash Course
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03 Adding Code to the CSS
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04 Adding in IDs to the CSS
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05 Classes in CSS
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06 Font Families
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07 Colors in CSS
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08 Padding in CSS
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09 Text Align and Transforms
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10 Margins and Width
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11 Changing the Body
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12 Latin Text Generator
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13 Adding in a Horizontal Menu with HTML and CSS
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14 Adding a Background Image
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15 Playing Around with Margins in CSS
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+ 00a (Prerequisite) Introduction to JavaScript 14 lectures
01 Course Requirements
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02 HTML, CSS and Javascript Crash Course
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03 Adding in Functions
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04 Scaling Functions
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05 Changing the Text in Javascript
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06 Variables
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07 Arrays
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08 Objects
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09 Variable Scope
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10 Adding User Input Text
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11 Calling Functions
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12 If Statements
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13 Else If and Else Statements
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14 Changing the Style with Javascript
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+ 01a TensorFlow JS Fundamentals 3 lectures
01a-01 What is Machine Learning
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01a-02 What is Tensorflow JS
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01-03 Load Tensorflow Object
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+ 01b Build Your First Tensors 4 lectures
01b-00 Linear Algebra for Machine Learning
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01b-01 Build Tensors
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01b-02 Tensor Utility Methods
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01b-03 Perform Math with Tensors
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+ 02 Identify Text Toxicity Scores 3 lectures
02-01 Load the Model with Text
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02-02 View Model Results of Text Toxicity
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02-03 Clean Up Prediction Results
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+ 03 Build a Speech Recognition Drawing Site 4 lectures
03-01 Set Up the Speed Recognition Model
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03-02 Set Up the Canvas
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03-03 Classify Words Through Microphone
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03-04 Draw from user commands
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+ 04 Manage TensorFlow Memory 4 lectures
04-01 Tidy Tensors
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04-02 Keep Tensors
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04-03 Dispose Tensors
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04-04 Build a Memory Leak Example
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+ 05 Build a Housing Linear Regression Project 7 lectures
05-01 Load Json Data
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05-02 Convert Json Data to Tensor
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05-03 Visualize Dataset with Tf-Vis
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05-04 Build and Train Model
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05-05 Visualize Model's Training Epochs
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05-06 Make a Prediction
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05-07 Visualize Prediction
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+ 06 Build a Model on a Large Dataset 7 lectures
06-01 Load Dataset From JSON File
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06-02 Visualize Dataset's Features
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06-03 Build a Multi Layer Model
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06-04 Extract Inputs and Outputs
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06-05 Normalize Data
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06-06 Train the Model
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06-07 Evaluate Model Performance
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+ 07 Build a Logistic Regression Model 7 lectures
07-00 What is Logistic Regression
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07-00B Calculate Logistic Regression Accuracy
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07-01 Build a Logistic Regression Model
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07-02 Train the Logistic Regression Model
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07-03 Visualize Logistic Regression Results
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07-04 Visualize Original Data
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07-05 Visualize Model Error
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+ 08 Visualize Fast Fourier Transform 4 lectures
08-00 What is Fast Fourier Transform
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08-01 Build and Visualize a Dataset
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08-02 Visualize Frequencies with Fast Fourier Transform
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08-03 Visualize Inverse Fast Fourier Transform
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+ 09 Visualize Principal Component Analysis 5 lectures
09-00 What is Principal Component Analysis.
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09-01 Build Principal Component Analysis
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09-02 Calculate Variance of Data and Principal Component Analysis
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09-03 Visualize Data Slices
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09-04 Visualize Principal Component Analysis Results
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Description
About this course.
Welcome to the Advanced Machine Learning with TensorFlow.js course! This comprehensive program is designed to take your machine learning skills to the next level by leveraging the power of TensorFlow.js. You will explore advanced concepts and practical applications of machine learning directly in the browser, opening up a world of possibilities for interactive and efficient model deployment.
Throughout the course, you'll start by mastering TensorFlow.js fundamentals, understanding how to build and manipulate tensors, the core data structures in TensorFlow. You’ll then dive into specific projects and techniques that will solidify your understanding and give you hands-on experience in real-world applications.
You will learn how to identify text toxicity scores, build a speech recognition drawing site, and manage TensorFlow memory to optimize performance. The course also covers building a housing linear regression project and training models on large datasets, ensuring you can handle complex data and derive meaningful insights.
Additionally, you will build logistic regression models, visualize Fast Fourier Transforms (FFT), and Principal Component Analysis (PCA) to understand and interpret the underlying patterns in your data. These projects will not only enhance your technical skills but also provide you with practical knowledge that can be applied to various domains.
By the end of this course, you'll have a deep understanding of advanced machine learning techniques with TensorFlow.js, equipped to create powerful and efficient models for diverse applications. Ready to advance your machine learning capabilities? Enroll now and start transforming your ideas into reality with TensorFlow.js!
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Mastering Advanced Machine Learning Techniques with TensorFlow.js