Deep Learning CNN Convolutional Neural Networks with Python - LeNet

The video discusses the evolution of convolutional neural networks (CNNs), starting with the pioneering work of John Lee Cohn at AT&T Bell Labs, who developed LeNet for handwritten digit recognition. LeNet's architecture, including its layers and non-linearities, is detailed, highlighting its significance in the 1990s. The video also covers LeNet's impact on machine learning, its adoption in ATMs, and the transition to more advanced CNN architectures like AlexNet, VGG, and ResNet.

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