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Relevance Propagation with PyTorch
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Gradient-based Weight Extrapolation
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NeuralGrid: A Grid-based Neural Network
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Subnetworks as Trainable Activation Functions
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Layer-wise Relevance Propagation with Tensorflow
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A Multilayer Perceptron in C++
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An Adaptive Learning Rate Method for Gradient Descent Algorithms
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[Preprint] On the Perceptual Uncertainty of Neural Networks
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Neural Networks with Step Activation Functions
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Training Neural Networks using Genetic Algorithms
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Training a Simple Classifier using an Evolutionary Algorithm
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A Multilayer Perceptron with NumPy