From the course: Learning TensorFlow with JavaScript

Learning TensorFlow

From the course: Learning TensorFlow with JavaScript

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Learning TensorFlow

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- [Emmanuel] Have you ever wanted to learn how to apply machine learning and deep learning to your projects, but been limited in your options, due to most libraries being on Python. Have you heard about this TensorFlow.js but don't know where to start? If you've answered yes to any of these questions, you've come to the right place. In this course, we'll take a look at TensorFlow.js and the basics, core concepts of machine learning with this library, all while applying the knowledge through examples. Hi, I'm Emmani Henri, and having worked with TensorFlow in Python, I was really happy to see this great library imported to JavaScript and able to show you how to work with machine learning. We'll first take a brief overview of what TensorFlow is and take a look at the few examples of its use. Then we'll go through TensorFlow basics, such as tensors, layers, and more. Next, we'll create our own first project from an example and start playing with datasets and models. Finally, we'll take a look at how to import Python-based models into TensorFlow.js. So, if you're ready to apply machine learning to JavaScript, open up your favorite editor and let's get started.

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