What is a Neural Network?

Neural Networks — No fluff, just how they work.

Layers of simple units + activations form a powerful function. Train with loss → backprop → gradient descent. Use CNNs for images, RNNs for sequences, and Transformers with attention for language and beyond. Add regularization so it learns patterns—not noise.

✅ Layers, activations, weights

✅ Loss, backprop, gradient descent

✅ CNN/RNN/Transformer at a glance

✅ Regularization to avoid overfitting

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