Class notes for Artificial Intelligence (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.
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