CHERRYPICKERFoothill College
C S 12B
DEEP LEARNING · 4.5 units
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Where this page’s information comes from
- Foothill catalogcourse record · 2026-2027
- FHDA class listingsWinter 2027 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
Winter 2027 · updated Oct 18, 11:09 PM UTCNo section is scheduled at Foothill College for Winter 2027. The course can still be offered in a later quarter.
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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