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comsci.blog | ||
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www.v7labs.com
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| | | | | A neural network activation function is a function that is applied to the output of a neuron. Learn about different types of activation functions and how they work. | |
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www.analyticsvidhya.com
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| | | | | Explore convolutional neural networks in this course. Learn foundational concepts, advanced models, and applications like face recognition. | |
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neuralnetworksanddeeplearning.com
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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... | |
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somosviajeros.com
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| | | Guía de Taiwan con mis post de este viaje a una isla en medio de un conflicto geopolítico con China y con gente maravillosa | ||
