Class notes
Class notes for Artificial Intelligence (CS375)
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04-04-2026
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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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Institution
Calvin College
Course
CS375 (CS375)
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Written for
- Institution
-
Calvin College
- Course
-
CS375 (CS375)
Document information
- Uploaded on
- April 4, 2026
- Number of pages
- 12
- Written in
- 2025/2026
- Type
- Class notes
- Professor(s)
- Ken arnold
- Contains
- All classes
Subjects
- cs375
- artificial intelligence
- machine learning
- neural networks
- pytorch
- supervised learning
- logistic regression
-
cross entropy
-
calvin university
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