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 algobeans.com
Convolutional Neural Networks (CNN) Introduction - Algobeans
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A Comprehensive Guide to Convolutional Neural Networks - KDnuggets
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| | Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision.
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Convolutional Neural Networks: Architectures, Types & Examples
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| | Convolutional neural networks (CNN) are particularly well-suited for image classification and object detection. Learn the basics of CNNs and how to use them.
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Exploring Neural Networks - KDnuggets
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| | Unlocking the power of AI: a suide to neural networks and their applications.
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Neural networks and deep learning
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| [AI summary] The text provides an in-depth explanation of the backpropagation algorithm in neural networks. It starts by discussing the concept of how small changes in weights propagate through the network to affect the final cost, leading to the derivation of the partial derivatives required for gradient descent. The explanation includes a heuristic argument based on tracking the perturbation of weights through the network, resulting in a chain of partial derivatives. The text also touches on the historical context of how backpropagation was discovered, emphasizing the process of simplifying complex proofs and the role of using weighted inputs (z-values) as intermediate variables to streamline the derivation. Finally, it concludes with a citation and licens...