Machine Learning and Deep Learning with JavaScript

Learn Machine Learning and Deep Learning from scratch using JavaScript and Tensorflow.js with hands-on projects
3.13 (8 reviews)
Udemy
platform
English
language
Data Science
category
Machine Learning and Deep Learning with JavaScript
126
students
6.5 hours
content
Jun 2019
last update
$44.99
regular price

Why take this course?

🌟 Master Machine Learning and Deep Learning with JavaScript 🌟


Course Headline:

🎓 Learn Machine Learning and Deep Learning from scratch using JavaScript and Tensorflow.js with hands-on projects


Course Description:

Unlock the Power of ML & DL for JavaScript Developers 🚀

Machine learning and Deep Learning have been revolutionizing industries, yet JavaScript developers often felt left out due to the complexity of adopting these technologies outside the JavaScript ecosystem. But with the introduction of TensorFlow.js, the game has changed! This browser-based JavaScript library allows you to train and deploy machine learning models right within the browser.

If you’re a JavaScript developer eager to explore the world of ML and DL using TensorFlow.js, this course is your golden ticket. 🏫✨

Dive into the fascinating journey of Machine Learning with JavaScript, where we demystify the complexities and guide you through the process of creating, training, and deploying machine learning models using TensorFlow.js. You'll start with the basics of machine learning, gradually building your way up to intricate neural networks and deep learning models.

Key Takeaways:

  • Understanding Machine Learning Concepts: Gain a solid foundation in machine learning principles.
  • Building Models with TensorFlow.js: Learn the ins and outs of TensorFlow.js, and how to leverage it for real-world applications.
  • Hands-On Projects: Apply your knowledge by working on practical projects, including an emotion detection system that can analyze pictures and voices.
  • Training from Scratch: Discover how to take a pre-trained model and train it further with your own dataset.
  • Implementing ML/DL in Your Own Projects: Equip yourself with the skills to incorporate machine learning and deep learning into your JavaScript projects.

Meet Your Expert(s):

Our course is crafted by industry leaders who are at the forefront of machine learning and software development, ensuring you receive top-notch guidance on your learning journey. 🤝

Arish Ali: A seasoned data scientist with a winning streak from an all-India machine learning competition organized by IISc and Microsoft, Arish has a rich background in working with multinational firms like Mu Sigma and startups like Neurofy Pvt Ltd. His expertise lies in data science applications for mental health, adding a unique perspective to our course.

Jakub Konczyk: With over 25 years of professional programming experience, Jakub is a Python and Django expert who has been involved in building complex systems since 2006. He discovered the practical approach to machine learning during his real estate venture and is now dedicated to simplifying and teaching programming subjects, including machine learning with TensorFlow.js, in an accessible manner.


Join us on this exciting adventure into the realm of Machine Learning and Deep Learning with JavaScript. With expert guidance, hands-on projects, and a comprehensive curriculum, you'll be well-equipped to leverage TensorFlow.js for your next innovative project. 📚🚀

Enroll now and transform your JavaScript skills into cutting-edge machine learning applications!

Course Gallery

Machine Learning and Deep Learning with JavaScript – Screenshot 1
Screenshot 1Machine Learning and Deep Learning with JavaScript
Machine Learning and Deep Learning with JavaScript – Screenshot 2
Screenshot 2Machine Learning and Deep Learning with JavaScript
Machine Learning and Deep Learning with JavaScript – Screenshot 3
Screenshot 3Machine Learning and Deep Learning with JavaScript
Machine Learning and Deep Learning with JavaScript – Screenshot 4
Screenshot 4Machine Learning and Deep Learning with JavaScript

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2420094
udemy ID
19/06/2019
course created date
15/07/2020
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