In this hands on assignment, we'll use CNNs for image classification. You'll first run provided code for digit classification, and analyze the effects of number of layers, hidden layer sizes, dropout and momentum on the performance. Then, you'll write code to perform object classification between 10 categories such as airplanes, cars, trucks, birds, cats, dogs, etc. Let's get started!
Part of course:
Hands-on Assignment: Convolutional Neural Networks (and Ablation Studies)
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