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Understanding Neural Networks from First Principles
Building neural networks up from a single neuron and gradient descent, in plain Python, to demystify what “training a model” actually means mechanically.
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The Perceptron: Where Neural Networks Actually Began
The Perceptron: where neural networks actually began in 1958, the fundamental limitation that triggered the first AI winter, and its decades-later resolution.
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Building a Simple Neural Network from Scratch in Python
Building a simple neural network from scratch in Python, and why implementing backpropagation by hand at least once genuinely clarifies what frameworks automate.