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Machine Learning in JavaScript with TensorFlow.js Course – Udemy

(10 customer reviews)

$23

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Description

What you’ll learn

  • Machine Learning in Javascript and TensorFlowJS 2.0
  • Deep Learning and Neural Network concepts
  • Why TensorFlow for JavaScript is a game changer
  • Defining machine learning models
  • How to install and run TensorFlowJS 2.0
  • How TensorFlowJS 2.0 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 2.0
  • 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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Updated for 2021!

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 2021. 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.

Who this course is for:

  • Anyone who wants to start using machine learning in their apps and websites using Javascript

Course content

  • Introduction
  • Installing and running TensorFlow.js
  • TensorFlow.js Core Concepts
  • Data Preparation with TensorFlow.js
  • Defining a model
  • Training and Testing in TensorFlow.js
  • TensorFlow.js Prediction
  • Binary Classification
  • Multi-class Classification
  • Conclusion & Next Steps

10 reviews for Machine Learning in JavaScript with TensorFlow.js Course – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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