Webinar by Farid Pasha (Wolfram Certified Trainer) on the properties of neural networks, their component layers, how to combine operations in a chain or graph container and how to train a network using the built-in functions of the Wolfram Language. See the use of encoders and decoders for automatically processing input and output to a network. Follow along step by step as we build an image classifier from scratch, train a neural network and evaluate its performance.
-- Identify the basic building blocks of a neural network
-- Use encoders, decoders and various layers in a neural net
-- Make use of pre-trained networks in the Wolfram Neural Net Repository