CIFAR 10 image dataset
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Nov 20, 2024 - Python
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sigmoid
Here are 30 public repositories matching this topic...
Deep Learning
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Jan 27, 2023 - Python
This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
model logistic-regression data-preprocessing preprocessing regression-models sigmoid cost-function sigmoid-function activation-function sigmoid-activation
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Aug 24, 2023 - Python
Compare vanishing gradient problem case by case.
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May 13, 2019 - Python
Simple multi layer perceptron application using feed forward back propagation algorithm
machine-learning deep-learning delta momentum adaline sigmoid tanh multilayer-perceptron sigmoid-function relu
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Nov 19, 2017 - Python
A classical XOR neural network using pytorch
serialization tutorial neural-network exercise python3 pytorch matplotlib gnuplot gif-animation xor fully-connected-network sigmoid xor-pytorch
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Mar 12, 2018 - 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
A neural network (NN) having two hidden layers is implemented, besides the input and output layers. The code gives choise to the user to use sigmoid, tanh orrelu as the activation function. Prediction accuracy is computed at the end.
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May 17, 2020 - Python
Neural Network from scratch without any machine learning libraries
python machine-learning neural-network machine-learning-algorithms python3 error-handling neural-networks supervised-learning standardization data-preprocessing breast-cancer-wisconsin normalization machine-learning-scratch uci-machine-learning sigmoid tanh relu relu-layer neural-networks-from-scratch sigmoid-activation
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Dec 13, 2019 - Python
Standard logistic function.
nodejs javascript node math stdlib mathematics logistic node-js proportion inverse special sigmoid logit log-odds expit
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Feb 8, 2026 - Python
Logit function.
nodejs javascript node math stdlib mathematics logistic node-js proportion special sigmoid logit log-odds
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Feb 8, 2026 - Python
Implementing a logistic regression program to predict whether a patient has heart disease or not based on some features.
machine-learning csv sklearn pandas logistic-regression gradient-descent hypothesis-testing sigmoid heart-disease
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Jul 11, 2022 - Python
A implementation of a Neural Network in vanilla python that trains on the MNIST handwritten digit classifiction problem.
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Feb 9, 2020 - Python
Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting
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Nov 19, 2023 - Python
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
python neural-network numpy gradient-descent l2-regularization softmax fully-connected-network sigmoid tanh he-initializer xavier-initializer leaky-relu adam-optimizer mini-batch-gradient-descent relu deep-neural-network l-layer-neural-network weights-initialization momentum-optimization-algorithm drop-out-layer
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May 29, 2021 - Python
We introduce two novel hybrid activation functions: S3 (Sigmoid-Softsign) and its improved version S4 (Smoothed S3)
python science machine-learning research deep-learning neural-networks sigmoid softsign activation-function-exploration
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Nov 4, 2025 - Python
This is a compact working example of a perceptron with sigmoid function in python.
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Mar 8, 2023 - Python
Introductory level artificial neural network
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Mar 1, 2020 - Python
Mini-learn is a miniature version of tensor-flow which I made with ONLY NUMPY to play with perceptrons. You can use this project like you use tflearn. Go to https://github.com/Satyaki0924/boston-housing-with-minilearn to see it's usage.
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Mar 5, 2017 - Python
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