Components of Neural Networks
Introduction to the insides of neural networks.
Runs from November 14th - Dec 5th 2026.
Facilitators
What it covers
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Introduction to Neural Networks
Covers weights, activations, biases, etc.
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Components of Neural Networks
Covers embeddings, attention and its variants, fully connected layers, output layers, etc.
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Overview of Inference and Training
Gives a high level view and intuition of how inference and training neural networks work.
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Other neural models
Covers vision models, speech models, etc.
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