Hands-On Machine Learning with TensorFlow.js
[Hands-On Machine Learning with TensorFlow.js/b]
.MP4, AVC, 280 kbps, 1920x1080 | English, AAC, 160 kbps, 2 Ch | 2h 8m | 529 MB
Instructor: Arish Ali
A quick and easy way for JavaScript developers to begin their journey with machine learning
Machine learning is a growing and in-demand skill, but so far JavaScript developers have not been able to take advantage of it due to the steep learning curve involved in learning a new language. TensorFlow.js is a great way to begin learning machine learning in the browser with TensorFlow.js. It allows you to operate offline to train new models and retrain existing models.
This course covers most of the major topics in machine learning and explains them with the help of Tensorflow.js implementations. The course is focused on the result-oriented nature of most JavaScript developers, and focuses on Tensorflow.js to the fullest in the least amount of time.
At the end of the course, you’ll evaluate and implement the right model to design smarter applications.
What You Will Learn
Solve real-world problems such as predicting mental health issues
Use clustering algorithms to understand customer behavior and categorize customers
Train your machine learning models and work with different kinds of data
Work with powerful algorithms using the pre-written libraries in Python
Recognize images using a webcam
Get insights into how neural networks work
Boost your model performance
![Hands-On Machine Learning with TensorFlow.js]()
.MP4, AVC, 280 kbps, 1920x1080 | English, AAC, 160 kbps, 2 Ch | 2h 8m | 529 MB
Instructor: Arish Ali
A quick and easy way for JavaScript developers to begin their journey with machine learning
Machine learning is a growing and in-demand skill, but so far JavaScript developers have not been able to take advantage of it due to the steep learning curve involved in learning a new language. TensorFlow.js is a great way to begin learning machine learning in the browser with TensorFlow.js. It allows you to operate offline to train new models and retrain existing models.
This course covers most of the major topics in machine learning and explains them with the help of Tensorflow.js implementations. The course is focused on the result-oriented nature of most JavaScript developers, and focuses on Tensorflow.js to the fullest in the least amount of time.
At the end of the course, you’ll evaluate and implement the right model to design smarter applications.
What You Will Learn
Solve real-world problems such as predicting mental health issues
Use clustering algorithms to understand customer behavior and categorize customers
Train your machine learning models and work with different kinds of data
Work with powerful algorithms using the pre-written libraries in Python
Recognize images using a webcam
Get insights into how neural networks work
Boost your model performance
Hands-On Machine Learning with TensorFlow.js
