Philipp Schmid • 2/28/2020

Getting started with CNNs by calculating LeNet-Layer manually

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This article provides a detailed, mathematical walkthrough of core CNN concepts like convolutional layers, pooling, stride, and padding. It uses the historical LeNet-5 architecture as a practical example, explaining how to manually calculate output dimensions at each layer to build a foundational understanding of how CNNs process image data for tasks like digit recognition.

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#computer vision #Deep Learning #Cnn
Getting started with CNNs by calculating LeNet-Layer manually

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