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LeNet 5 Paper explanation | LeNet architecture from manuscript | foundational architecture of CNN

Hello viewers !! In this video, we dive deep into the architecture of LeNet-5, one of the pioneering convolutional neural networks (CNNs) developed by Yann LeCun and his team. We follow the sequence of the original research paper, breaking down each layer and explaining its significance. LeNet-5 revolutionized image classification and served as a foundation for modern deep learning techniques. We’ll cover. The architecture flow: from input layers to convolutional, subsampling, and fully connected layers. The core ideas and key innovations introduced in the paper. Whether you are a student, researcher, or AI enthusiast, this video will help you understand the architecture and flow of LeNet-5, as well as the key takeaways from the original research paper. Don't forget to like, share, and subscribe for more deep learning insights! #LeNet5 #ConvolutionalNeuralNetwork #DeepLearning #AI #ResearchPaperSummary #ImageClassification