Here, we'll dive, head first, into the nitty-gritty of Neural Networks, how they work, what Gradient Descent achieves for them, and how Neural Networks act on the feedback that Gradient Descent derives.
UPDATE: We've partnered with TechKnights to throw a lecture+workshop combo during KnightHacks! To finish Unit 0 for the Fall series, we're following up our lecture last week with a workshop. Here, we'll build a neural network to classify hand-written digits using a popular dataset, MNIST, with some help from Google's Tensorflow library. ***Everything will be provided in a self-contained environment for you but you will need to come prepared with the below requirements before the workshop begins.