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Deep Learning for Students

Deep learning explained without the maths panic.

We start with single-neuron intuition, then stack neurons into networks. No frightening calculus first day.

Convolutional networks for images, recurrent ideas for sequences, and a gentle introduction to Transformers — the architecture behind every modern LLM.

Hands-on PyTorch labs throughout — train a CNN on real images, fine-tune a small text classifier.

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