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!
⌨️ 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
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
How and why to start Learning to be a data scientist in 2020! This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!