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Introduction to Convolutional Neural Networks (CNN)

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Introduction to Convolutional Neural Networks (CNN)

Discover how Convolutional Neural Networks (CNNs) revolutionize deep learning by detecting patterns, powering AI from image recognition to self-driving cars.

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Introduction to Deep Learning: What Are Convolutional Neural Networks?

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Visualisation of how Convolutional Neural Network works. A Convolutional Neural Network (CNN) operates by applying filters to input data, extracting features through convolution and pooling layers. These filters systematically scan the input, detecting patterns like edges. The network learns these filters during training, enabling it to recognize complex features in images. By combining convolution and pooling layers, CNNs create feature maps that highlight detected features. This process allows

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