By the end of this video tutorial, you will have built and deployed a web application that runs a neural network in the browser to classify images! To get there, we’ll learn about client-server deep learning architectures, converting Keras models to TFJS models, serving models with Node.js, tensor operations, and more!

⭐️Course Sections⭐️

⌨️ 0:00 - Intro to deep learning with client-side neural networks

⌨️ 6:06 - Convert Keras model to Layers API format

⌨️ 11:16 - Serve deep learning models with Node.js and Express

⌨️ 19:22 - Building UI for neural network web app

⌨️ 27:08 - Loading model into a neural network web app

⌨️ 36:55 - Explore tensor operations with VGG16 preprocessing

⌨️ 45:16 - Examining tensors with the debugger

⌨️ 1:00:37 - Broadcasting with tensors

⌨️ 1:11:30 - Running MobileNet in the browser

#tensorflow #deep-learning #machine-learning #javascript #data-science