Machine Learning in the Browser

Explore the potential of machine learning in web browsers through this engaging conference talk from JSUnconf 2018. Dive into client-side ML techniques, focusing on neural networks and their implementation using TensorFlow.js. Learn about key concepts such as nodes, tensors, placeholders, and fully connected layers. Discover the essential steps for training models, optimizing performance, and working with data in a browser environment. Gain valuable insights into the future of machine learning applications directly within web browsers, and access helpful resources to further your understanding of this cutting-edge technology.

Intro
LIAN LI
MACHINE LEARNING
CLIENT-SIDE ML
NEURAL NETWORK
NODE
TENSOR
PLACEHOLDER
FULLY CONNECTED
CHECKLIST
TRAINING
OPTIMIZER
DATA
LINKS