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Understand how neural networks actually work — from a single neuron to deep multi-layer architectures. Covers forward propagation, backpropagation, gradient descent, convolutional networks, and the practical techniques that make deep learning work in production.
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Build intuition for how artificial neurons work and why they were inspired by biology.
10 minutes
12 minutes
14 minutes
Learn how networks improve themselves by repeatedly adjusting their weights.
14 minutes
12 minutes
16 minutes
14 minutes
Practical techniques that separate a network that trains from one that does not.
12 minutes
14 minutes
12 minutes
The architecture that revolutionised computer vision — and much else besides.
16 minutes
12 minutes
14 minutes
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