CSIS 235 - Deep Learning

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    Recent Semesters
    No scheduled sections on record
    Class Size
    Not published
    Credits
    3
    Prerequisite
    "C" grade or higher or "Pass" in CSIS 115 or equivalent.
    Transfers To
    CSU
    Description
    This course explores deep learning, a subset of machine learning focused on neural networks with multiple layers. Students will learn about key architectures like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. The course includes practical experience in building and training models for tasks such as image recognition and natural language processing, using frameworks like TensorFlow and PyTorch. (CSU/UC).