Updated for 2022!
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 2022. 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.
Instructor Details
Courses : 1
Specification: Machine Learning in JavaScript with TensorFlow.js
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12 reviews for Machine Learning in JavaScript with TensorFlow.js
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Price | $24.99 |
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Provider | |
Duration | 7.5 hours |
Year | 2022 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | Yes |
$129.99 $24.99
Mikhail Yurin –
Music at the beginning and the end of lessons is too loud, much louder than a speech. It would be better without music at all. Also the quality of sound of a speech is not professional, it is to much of reverberation, it is better to use some professional microphones. I’m currently at about 20% of course, but seems like materials are good.
Lucas Vieira Miguel –
Wonderful course, one of the best explanations that I’ve seen! But the introduction music is too high.
Max Jacobson –
This course has good content, but I feel as there is no expectation of what prior knowledge we should have before starting the course. The instructor uses terms without giving much context as to what they are and it has required that I supplement this tutorial with other tutorials online in order to understand it. If you are coming from 0 knowledge of machine learning, you might want to pass on this course.
Olivier Reymond –
Belle entr e en mati re avec les concepts g n raux
Mukundan –
Yes. Some technical difficulties such as volume of videos faced. Otherwise course is ok for my need as beginner
Arielolin –
monotonic voice
Jose Guadalupe Torres Padilla –
It’s been good so far, I really like that he explains every concept.
Dheemanth Bhat –
Good.
Nopdanai Dejvorakul –
Even I adjusted my speaker volume to 100%, his speaking volume is dramatically low comparing to a music at the beginning and the end of videos. Contents are not bad. Actually, I think this is one of a good choice for beginners.
Ibrahim Algaisi –
excellent course
George Crisan –
Pros: The content is great. The examples are relevant and are allowing you to build on top of them. Cons: The high audio volume at the begging and at the end of each video is the most disturbing thing you can have when you need to focus. Why would you add it to literally every video, it makes no sense to me.
Libin Thomas –
The introduction & conclusion music intensity is high.