LeNet-5 Implementation on FPGA: An Overview
What Is LeNet-5? LeNet-5 is a convolutional neural network (CNN) proposed by Yann LeCun and colleagues in 1998 for handwritten digit recognition (the MNIST dataset). It is widely regarded as the historical model that established the foundational concepts of modern deep learning: convolution, pooling, and hierarchical feature extraction. LeNet-5 architecture as shown in (LeCun et al., 1998) MNIST — 70,000 greyscale 28×28 images of handwritten digits ...