Machine Vision Visual Demo

Deep learning is making waves in computer vision, enabling computers to understand visual information much like humans do. One fascinating example is the use of convolutional neural networks (CNNs) to identify handwritten digits. CNNs are neural networks that simulate how our eyes perceive images. Starting with convolutional layers that use filters, they capture critical features such as edges and textures. These features go through some activation functions to handle complexity, and then are bundled for information reduction, preserving essential details. Through this training process, the network improves its ability to discriminate between handwritten digits.

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