Learn how to do text sentiment analysis and detect emotions in people's portraits and their voices using TensorFlow.js
In this course, you will through the process of getting started with TensorFlow.js to detect emotions with a lot of different types of data. You will start by learning how to build a deep learning tool to judge whether a piece of text is positive or negative. Since you will want tangible results quickly, you will use a pre-trained model to do that and include it into your own web application. You will move on to learn how to detect human emotions based only on pictures and voices using pre-trained models as well. Towards the end, you will learn how to modify a pre-trained model to train the emotional detector from scratch using your own data.
What You Will Learn
Get started with Deep Learning quickly, without installing anything Use Deep Learning methods in practice on realistic datasets Get results fast using pre-trained models Improve your results using transfer learning Learn when it's a good idea to train your own model from scratch and what do you need to know to do that correctly