CS375 (CS375)
Calvin College
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Class notes
Class notes for Artificial Intelligence (CS375)
Calvin College
CS375
Comprehensive handwritten notes from CS375: Artificial Intelligence. Topics include supervised, unsupervised, and reinforcement learning, linear and logistic regression, softmax and cross-entropy loss, overfitting, neural network architectures (FNN, RNN, CNN, MLP), stochastic gradient descent, backpropagation, MNIST and PyTorch basics.
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