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- Building a Tiny-AlexNet in NumPy for MNIST
A Juejin AI tutorial presents a plan to implement a CNN in NumPy from scratch and validate it on MNIST for educational purposes. It adapts AlexNet’s eight-layer structure to 28×28 inputs, crops them to 27×27, and uses a 10-class output while omitting Local Response Normalization; the supplied report describes implementation and validation as planned work.
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