Components of Neural Networks

Starts 14 Nov 2026 — ends 5 Dec 2026 · XCD 50.00

Introduction to the insides of neural networks.

Runs from November 14th - Dec 5th 2026.

Facilitators

What it covers

  1. Introduction to Neural Networks

    Covers weights, activations, biases, etc.

  2. Components of Neural Networks

    Covers embeddings, attention and its variants, fully connected layers, output layers, etc.

  3. Overview of Inference and Training

    Gives a high level view and intuition of how inference and training neural networks work.

  4. Other neural models

    Covers vision models, speech models, etc.

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