CHERRYPICKERFoothill College
C S 12B
DEEP LEARNING · 4.5 units
Where this page’s information comes from
- Foothill catalogcourse record · 2026-2027
- FHDA class listingsFall 2026 sections
- Cherrypickercourse matching and pathway links — our analysis
About this course
This course offers an introduction to deep learning theories, principles, and practices. Students will explore neural networks, including perceptrons, gradient descent, and multilayer perceptrons, as well as advanced topics like convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), variational autoencoders (VAEs), and attention mechanisms. By the end of the course, students will be proficient in implementing and training neural networks using frameworks like TensorFlow, Keras, scikit-learn, and PyTorch, and will be able to critically evaluate and improve deep learning models.
Sections this term
Fall 2026 · updated Sep 3, 3:30 PM UTCC S 12BDEEP LEARNINGOpen1 section · 20 seats reported · 1 instructor
- CRN 22202 · 01Open · 20
Enrollment availability changes frequently. Confirm status in the official FHDA registration system before enrolling.
Prerequisites
C S 12AINTRODUCTION TO MACHINE LEARNINGCatalog wording: “C S 12A.”
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Articulation, prerequisites, course details and class availability all come from sources that change. If something here does not match the official record, tell us and we will fix it — corrections from students and staff are the fastest way this stays accurate.