Building Machine Learning Solutions with TensorFlow.js

Deep learning and machine learning are powering some the most innovative applications of our time. JavaScript, although it is one of the most used languages in the world, was not the preferred language for developing and deploying machine learning models. TensorFlow.js allows JavaScript developers to expand their skills in building, training, and deploying machine learning and deep-learning models. This course, Building Machine Learning Solutions With TensorFlow.js teaches you about TensorFlow.js and how to set up the ecosystem on the client-side using a browser and the server-side using Node.js. You'll first learn how to use the environment for machine learning applications that use natural language processing (NLP), to detect harmful elements in unstructured texts. Next, you will learn how to import, process, train, and export data and then predict with the model. You'll also learn how to use Python-trained models on the client-side with TensorFlow.js. Finally, you will be able to retrain the model via transfer learning. This course will equip you with the knowledge and skills to use TensorFlow.js on both the client-side and server-side to create, train, and deploy deep learning models and machine learning on complex applications.