Convolutional Neural Networks Explained
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Convolutional Neural Networks Explained
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Convolutional Neural Networks ExplainedA CNN sequence to classify handwritten digits. A Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm that can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image, and be able to differentiate one from the other. The pre-processing required in a. Kunihiko Fukushima and Yann LeCun laid the foundation of research around convolutional neural networks in their work in 1980 link resides outside ibm and Backpropagation Applied to Handwritten Zip Code Recognition in 1989 respectively More famously Yann LeCun successfully applied backpropagation to train neural networks to identify
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