Deep Learning
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Updated
Jan 27, 2023 - Python
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leakyrelu
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The module allows working with simple neural networks (Currently, the simplest model of a multilayer perceptron neural network with the backpropagation method and the Leaky ReLu activation function is used).
machine-learning library neural-networks l2-regularization l1-regularization perceptron-neural-networks leakyrelu
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Jun 27, 2025 - Python
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
python algorithms swish gaussian artificial-neural-networks prelude artificial-intelligence-algorithms maxout sigmoid tanh elu-activation selu relu activation-functions gelu sigmoid-activation relu-activation tanh-activation leakyrelu sigmoid-activation-function
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Mar 18, 2024 - Python
implements 8 deep learning models for handwritten digit classification using the MNIST dataset, with variations in architecture and activation functions.
neural-networks classification feedforward-neural-network deeplearning handwritten-digit-recognition sigmoid-function leakyrelu
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May 3, 2024 - Jupyter Notebook
This repository contains Python code that generates visualizations for various activation functions commonly used in neural networks.
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Dec 25, 2024 - Python
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