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sigmoid-function

Here are 112 public repositories matching this topic...

neural-tangjie / NTJ-DL-Activation_Functions_in_Neural_Network

This repository summarizes the basic concepts, types and usage scenarios of activation functions in deep learning.

deep-learning neural-network softmax leaky-relu sigmoid-function activation-functions relu-activation tanh-activation binary-step-function linear-activation-function non-linear-activation-function

Updated Aug 12, 2022

JuzerShakir / Logistic_Regression

A Mathematical Intuition behind Logistic Regression Algorithm

machine-learning algorithm probability logistic-regression gradient-descent hypothesis bias-variance multiclass-classification logarithmic-regression cost-function logarithms sigmoid-function overfitting logistic-function regularized-logistic-regression

Updated Nov 4, 2021

ritzvik / SimpleNeuralNetwork

python deep-learning neural-network numpy minimization least-square-regression sigmoid-function dense-neural-network

Updated Oct 22, 2018
Python

BhagyashriT / ML-Multi-class-Classification-using-Neural-network-and-Convolutional-Neural-Network

python neural-network cnn-keras keras-tensorflow softmax sigmoid-function relu

Updated Oct 25, 2019
Jupyter Notebook

hasanur-rahman / AI-Scratch-Projects

I have implemented some AI projects from scratch implementation without explicit use of the built-in-libraries and thus added to this repo.

neural-network python3 image-classification logistic-regression binary-classification tanh sigmoid-function scratch-implementation backward-propagation forward-propagation planar-classifier

Updated Aug 6, 2020
Jupyter Notebook

Ad7amstein / Logistic_Regression-Breast_Cancer_Diagnostic

Predict whether the cancer is benign or malignant using logistic regression model.

machine-learning machine-learning-algorithms logistic-regression gradient-descent sigmoid-function cross-entropy-loss

Updated Mar 8, 2024
Jupyter Notebook

claick-oliveira / neural-network-bike-prediction

neural-networks backpropagation-algorithm multilayer-perceptron sigmoid-function

Updated Nov 27, 2017
HTML

jcatanza / utilities

utility notebooks

jupyter-notebooks sigmoid-function p-values html-table-extractor

Updated Apr 3, 2020
Jupyter Notebook

acardoco / GeoLearning

Push features to OSM taked from satellite images.

computer-vision deep-learning cross-platform openstreetmap convolutional-neural-networks region-of-interest sigmoid-function hough-circles selectivesearch r-cnn softmax-classification

Updated Mar 17, 2021
Python

martinkersner / ann-meetup

Practice of implementing Multilayer Perceptron trained with Stochastic Gradient Descent for Seoul AI Meetup on June 25, 2017.

keras artificial-intelligence mnist artificial-neural-networks multilayer-perceptron-network stochastic-gradient-descent sigmoid-function

Updated Jun 25, 2017
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junaidfiaz143 / First-NeuralNetwork

This is the code for "sigmoid binary classification without using and ML library" By M.Junaid Fiaz

machine-learning numpy jupyter-notebook python3 matplotlib jupyter-notebooks backpropagation sigmoid-function partial-derivative

Updated Jul 27, 2018
Jupyter Notebook

Develop-Packt / Autoencoders

This course will take a look at autoencoders and their applications will help you see how autoencoders are used in dimensionality reduction and denoising. You will implement an artificial neural network and an autoencoder using the Keras framework. By the end of this course, you will be able to implement an autoencoder model using convolutional …

artificial-neural-networks convolutional-neural-networks unsupervised-learning autoencoders sigmoid-function rectified-linear-units

Updated Mar 29, 2020
Jupyter Notebook

faizan-tariq / NNML_Bot

Basic level implementation of Neural Network

python machine-learning automation neural-network prediction interview neuron optimization-algorithms stochastic-gradient-descent sigmoid-function

Updated Feb 13, 2022
Python

bhavyaramgiri / Python

Pyhton projects on various topics

data-science checkpoint dropout indego data-analysis face-recognition matplotlib feedforward-neural-network keras-tensorflow nueral-networks back-propagation sigmoid-function nueral relu over-fitting nueral-network nueral-network-scratch under-fitting testing-training

Updated Sep 4, 2019
Jupyter Notebook

Parashar7 / Support_Vector_Machine

SVMs are used for Classification as well as Regression problems. However, it is primarily used for Classification problems. #%% md # The Technique (Support Vector Machine) Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. However, primarily, i…

machine-learning rbf-kernel artificial-intelligence confusion-matrix svm-classifier classification-algorithm regression-algorithms pyhton3 sigmoid-function polynomial-kernel jyputer-notebook

Updated May 20, 2022
Jupyter Notebook

Nour-Sadek / Logistic-Regression-from-Scratch

This project provided practice with logistic regression and the cost functions MSE and log loss

machine-learning scikit-learn logistic-regression sigmoid-function mean-squared-error log-loss

Updated Jul 2, 2023
Python

machine_learning_smartnet_2

dserbano / machine_learning_smartnet_2

2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

python machine-learning dropout neural-networks classification convolutional-neural-networks support-vector-machines multi-label-classification convolutional radial-basis-function backpropagation-algorithm softmax tanh pooling sigmoid-function relu digit-classifier lecun

Updated Feb 28, 2020
Python

Shreyas9699 / Neural-Network-CPP

Implementation Neural Network in C++

neural-network cpp gradient-descent multilayer-perceptron-network perceptron-learning-algorithm sigmoid-function

Updated Dec 18, 2023
C++

Mauzey / Simple-Neural-Network

A simple, single-layer, neural network

python neural-network simple weights sigmoid-function

Updated Dec 16, 2020
Python

anilesh-prajapati / Deep-Learning-with-TensorFlow-Keras-and-PyTorch

Deep Learning with TensorFlow Keras and PyTorch

weight-initialization sigmoid-function shallow-net-in-tensorflow softmax-demo quadratic-cost cross-entropy-cost intermediate-net-in-tensorflow measuring-speed-of-learning deep-net-in-tensorflow regression-in-tensorflow regression-with-tensorboard lenet-in-tensorflow shallow-net-in-pytorch deep-net-in-pytorch lenet-in-tensorflow-for-fashion-mnist

Updated Jul 31, 2023
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