Machine Learning in JavaScript with TensorFlow.js
Udemy Coupon Code for Machine Learning in JavaScript with TensorFlow.js Course. Master machine learning with JavaScript and TensorFlowJS. Add artificial intelligence to websites, Node.js and web apps!
Created by tech.courses team, Justin Emery| 6.5 hours on-demand video course
TensorFlow.js Course Overview
Machine Learning in JavaScript with TensorFlow.js
Interested in using Machine Learning in JavaScript applications and websites? Then this course is for you!
This is the tutorial you’ve been looking for to become a modern JavaScript machine learning master in 2025. It doesn’t just cover the basics, by the end of the course you will have advanced machine learning knowledge you can use on you resume. From absolute zero knowledge to master – join the TensorFlow.js revolution.
This course has been designed by a specialist team of software developers who are passionate about using JavaScript with Machine Learning. We will guide you through complex topics in a practical way, and reinforce learning with in-depth labs and quizzes.
Throughout the course we use house price data to ask ever more complicated questions; “can you predict the value of this house?”, “can you tell me if this house has a waterfront?”, “can you classify it as having 1, 2 or 3+ bedrooms?”. Each example builds on the one before it, to reinforce learning in easy and steady steps.
Machine Learning in TensorFlow.js provides you with all the benefits of TensorFlow, but without the need for Python. This is demonstrated using web based examples, stunning visualisations and custom website components.
This course is fun and engaging, with Machine Learning learning outcomes provided in bitesize topics:
- Part 1 – Introduction to TensorFlow.js
- Part 2 – Installing and running TensorFlow.js
- Part 3 – TensorFlow.js Core Concepts
- Part 4 – Data Preparation with TensorFlow.js
- Part 5 – Defining a model
- Part 6 – Training and Testing in TensorFlow.js
- Part 7 – TensorFlow.js Prediction
- Part 8 – Binary Classification
- Part 9 – Multi-class Classification
- Part 10 – Conclusion & Next Steps
As a bonus, for every student, we provide you with JavaScript and HTML code templates that you can download and use on your own projects.
What you’ll learn
- Machine Learning in Javascript and TensorFlowJS 4
- Deep Learning and Neural Network concepts
- Why TensorFlow for JavaScript is a game changer
- Defining machine learning models
- How to install and run TensorFlowJS 4
- How TensorFlowJS 4 is optimised
- Training machine learning models
- Data preparation for machine learning
- How to make accurate predictions
- Linear regression
- Binary classification
- Multi-class classification
- Heatmap visualisation
- Scatter-plot visualisation
- Importing and normalising data
- How to manage memory in TensorFlowJS 4
- Tensor mathematics
- Saving machine learning models
- Inputting and outputting using a web browser
- Javascript and machine learning integration
- Shuffling, and splitting data
- In-depth labs for practical development
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Machine Learning in JavaScript with TensorFlow.js Course Reviews
Everything You Need to Know About Machine Learning in JavaScript with TensorFlow.js
This course offers a comprehensive and well-structured introduction to TensorFlow.js. Justtin Emery, the instructor, brings a wealth of expertise in Data Science, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Machine Learning in JavaScript Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy Coupons offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Machine Learning in JavaScript with TensorFlow.js to anyone looking to learn TensorFlow This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
