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Neural network preliminaries: Gradient descent (Herman Kamper) View |
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Neural network preliminaries: Vector and matrix derivatives (Herman Kamper) View |
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But what is a neural network | Deep learning chapter 1 (3Blue1Brown) View |
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Neural network preliminaries: The chain rule for vector derivatives (Herman Kamper) View |
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[AUTOML23] Learning Activation Functions for Sparse Neural Networks (AutoMLConf) View |
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Stochastic Gradient Descent: boosting its performances in R (R Consortium) View |
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The Function That Changed Everything (Underfitted) View |
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Gradient of a function, strong convexity, gradient descent direction, choosing values (Euprime) View |
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[DeepTest'20] Does Neuron Coverage Matter for Deep Reinforcement Learning a preliminary study (FLAGlab Uniandes) View |
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Deep Learning Without Backpropagation (NNB Crespin) View |