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AI & Machine Learningadvanced
AI-301

Deep Learning & Neural Networks

When you finish, you can

Build and train neural networks for images, sequences and text, and explain how transformers and generative models actually work.

Start hereYou need AI-201 and comfort with Python. Use free GPU time on Colab; nothing here needs a paid account.

9 hours total5 Chapters20 Lessons1 Exams3 CreditsFREE
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Take a position on Deep Learning & Neural Networks. The AI counselor argues the other side, asks you questions back, and cites a source for every fact it states. Sources listed under a reply are the pages it actually found; if none are listed, it is arguing from reasoning only. It is an AI and it can be wrong: check the sources.

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    Prerequisites::AI-201 Machine Learning

    Course Syllabus

    9h total

    Practice

    1. Build a two-layer network on the MNIST digits in a few lines of PyTorch or Keras.
    2. Train for five epochs; plot training and validation loss.
    3. Add dropout and retrain; compare the two curves.

    Check

    Point to the epoch where overfitting begins on your plot and explain what regularization did to it.

    Topics Covered

    deep-learningneural-networkstransformers

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