sigmoid-function

There are 2 repositories under sigmoid-function topic.

OSSpk / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
comparative-study machine-learning-algorithms supervised-machine-learning k-nearest-neighbours support-vector-machines support-vector-classifier multiclass-perceptron artificial-neural-network learning-algorithms-comparison handwritten-digit-recognition mnist-dataset mnist-classification-logistic delta-rule perceptron-learning-algorithm accuracy-analysis efficiency-analysis logistic-regression sigmoid-function knn svm
Language:Python 60
Ankushr785 / Emotion-recognition-from-tweets
A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.
support-vector-machines text-processing natural-language-processing lemmatization word2vec tfidf ann sigmoid-function layers
Language:Python 17
dataplayer12 / swish-activation
Repo for my blogs explaining swish activation function
activation swish relu sigmoid-function deep-learning
Language:HTML 13
JuliaSzymanska / Artificial-Intelligence
Implementing Artificial Neural Network training process in Python
python ai neurons neuron neural-network radial-basis-function kohonen-network kohonen-neural-network kohonen neural-gas k-means color-quantization backtracking-algorithm backtracking aproximation sigmoid-function sigmoid-activation rbf mlp classification
Language:Python 13
aysebilgegunduz / FeedFwBackProp
Simple multi layer perceptron application using feed forward back propagation algorithm
machine-learning multilayer-perceptron deep-learning relu sigmoid-function sigmoid tanh momentum delta adaline
Language:Python 6
AFAgarap / vanishing-gradients
Avoiding the vanishing gradients problem by adding random noise and batch normalization
activation-functions artificial-intelligence artificial-neural-networks batch-normalization deep-learning gradients leaky-relu relu sigmoid-function
Language:Python 5
deep0892 / ml_modeling
machine-learning regression classification linear-regression logistic-regression tensorflow2 gan sigmoid-function anamoly-detection mnist transfer-learning tensorflow-estimator churn-prediction mnist-classification mnist-dataset style-transfer image-translation lstm gru attention
Language:Jupyter Notebook 5
srilakshmi-thota / IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK
Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.
python3 machine-learning neural-network iris-dataset sigmoid-function backpropagation forward-propagation sklearn-library
Language:Python 5
11808s8 / python-neural-network
A simple neural network with backpropagation used to recognize ASCII coded characters
python python3 ascii neural-network rede-neural redes-neurais-artificiais artificial-neural-networks backpropagation backpropagation-learning-algorithm backpropagation-neural-network sigmoid-function sigmoid-activation matplotlib matplotlib-figures roc-curve roc-plot neural-net
Language:Python 4
Mario_DeepLearing
AI-Expert-04 / Mario_DeepLearing
유전알고리즘과 인공신경망을 활용허여 마리오 학습
artificial-neural-networks deep-learning geneticalgorithm relu-activation sigmoid-function elite-conservation
Language:Python 4
mb11797 / Image_Recognition_Cat_vs_Non-Cat_Pytorch
A classifier to differentiate between Cat and Non-Cat Images
deep-neural-networks pytorch torch machine-learning-algorithms deep-learning-algorithms image-recognition classification classifier-model cross-entropy-loss relu-layer sigmoid-function back-propagation cat-vs-non-cat
Language:Python 4
alevkov / rbnet
A neural network implementation in Ruby.
neural-network ai machine-learning sgd sigmoid-function ruby
Language:Ruby 3
barathvaj / Machine-Learning-From-Scratch-CodingChallenge
Implement Linear Regression, Logistic Regression, Neural networks and many other
linear-regression logistic-regression machine-learning-algorithms neural-networks gradient-descent sigmoid-function machinelearning deep-learning machine-learning dropout python pca svm decision-trees random-forest
Language:Jupyter Notebook 3
bhattbhavesh91 / activiation-functions
Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
sigmoid-function deep-learning activation-functions neural-network relu
Language:Jupyter Notebook 3
hadpro24 / scratch-binary-linear-classification
binary linear classification from scratch with sigmoid function based gradient decente
classification-model machine-learning sigmoid-function python
Language:Jupyter Notebook 3
Zahra-Bakhtiari / Building-Deep-Neural-Network-Step-by-Step-Instruction
building a deep neural network with as many layers as you want!
backward-propagation cost-function deep-neural-network forward-propagation relu sigmoid-function
Language:Jupyter Notebook 3
akomarla / predict_npi_bugs
Predict number of JIRA bugs in SSD engineering dev process as a proxy for market readiness
jira logistic-growth-models operations-research sightings sigmoid-function product-life-cycle new-product-integration product-release-qualification intel solid-state-drives memory-drives
Language:Python 2
beingbat / neural-nets
Neural Networks from scratch (Inspired by Michael Nielsen book: Neural Nets and Deep Learning)
cross-entropy-loss deep-learning mnist neural-network sigmoid-function softmax
Language:Python 2
Best-Brain-Gang / twitter_sentiment_analysis
This uses NLP sentiment analysis to analyze the Twitter data and the behaviour of stock prices particularly for Blizzard and CodeProjekt Red.
machine-learning python tensorflow deep-learning pandas twitter-sentiment-analysis neural-network nlp-machine-learning nlp scikit-learn lstm bidirectional-lstm keras sigmoid-function rnn-tensorflow recurrent-neural-networks alpaca-trading-api twint-library twint
Language:Jupyter Notebook 2
binglel / mnist_bp
mnist data training and testing with back propagation
mnist-classification back-propagation sigmoid-function
Language:Python 2
KhaledAshrafH / Logistic-Regression
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.
activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function
Language:Python 2
nn-from-scratch
matheuscamposmt / nn-from-scratch
Development of a Neural Network from scratch to predict divorce in marriages.
from-scratch machine-learning machine-learning-from-scratch neural-network neural-network-from-scratch neural-networks numpy python sigmoid-function
Language:Python 2
MaverickTse / SigDecontrastAviutl
Sigmodial decontrast interface with IM backend
aviutl-filter-plugin aviutl-plugin cpp decontrast imagemagick sigmoid-function
Language:C++ 2
xor-neural-network
melchisedech333 / xor-neural-network
🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.
neural-networks sigmoid-activation xor-problem artificial-intelligence deep-learning machine-learning neural-network back-propagation backpropagation backpropagation-algorithm backpropagation-neural-network feed-forward feed-forward-neural-networks feedforward-neural-network gradient-descent artificial-intelligence-algorithms artificial-neural-networks xor-neural-network neural-network-example sigmoid-function
Language:JavaScript 2
PratikhyaManas / Credit-Card-Frauid-Detection-using-Deep-Learning
The objective of this project is to identify the fraudulent transactions happening in E-Commerce industry using deep learning.
relu-layer sigmoid-function dropout deep-neural-networks
Language:Jupyter Notebook 2
priyal6 / Credit-Card-Fraud-Detection
Credit card fraud detection is the process of identifying and preventing unauthorized or fraudulent use of credit cards. It is a critical aspect of the financial industry, as it helps to safeguard both the cardholder and the card issuer from losses due to fraudulent activity.
logistic-regression machine-learning python sigmoid-function
Language:Jupyter Notebook 2
sadighian / hand_crafted_models
Popular predictive models and optimizers implemented in pure Python.
back-propagation classification gradient-descent linear-algebra linear-regression logistic-regression python-3 regression sigmoid-function
Language:Python 2
Siddhipatade / Activation-function
Activation Function which used in neural network
activation-functions jupyter-notebook neural-networks python sigmoid-function relu-activation tanh-activation linear-activation-function softmax-activation
Language:Jupyter Notebook 2
Umartahir93 / Digit-Recognition-Using-Perception-Learning-sigmoid-activation-function-and-GA
All pair approach to recognize handwritten digits based on the MNIST dataset.
handwritten-digit-recognition artificial-intelligence perceptron-learning-algorithm genetic-algorithm sigmoid-function
Language:MATLAB 2
yashsehgal / sigmoid-function-cpp
This is an example machine learning programming using C++. I have created an example of Sigmoid function in C++.
cpp machine-learning data-structures sigmoid-function mathematical-programming artificial-intelligence neural-networks statistics exponential-regression
Language:C++ 2
BalajiN743 / -Logistic-regression-bank-data-
logistic-regression sigmoid sigmoid-function exploratory-data-analysis feature-selection preprocessing regression
Language:Jupyter Notebook 1
bithabib / deep_learning_tutorial
Learn the fundamentals of building an Artificial Intelligence (AI) powered Neural Network using Python in this comprehensive tutorial. Discover the step-by-step process of designing, training, and fine-tuning a neural network to make accurate predictions on various data sets.Master the essential concepts of deep learning and unleash the power of AI
backpropagation deep-learning deep-neural-networks derivatives machine-learning neural-network sigmoid-function
Language:Jupyter Notebook 1
bjhammack / from-scratch-logistic-regression
A fully-functioning logistic regression model using only python and numpy.
data-science logistic-regression machine-learning numpy sigmoid-function
Language:Python 1
Krishnateja244 / Vanishing_Gradient
This repository helps in understanding vanishing gradient problem with visualization
backpropagation deeplearning machine-learning neural-networks vanishing-gradient relu-activation sigmoid-function
Language:Jupyter Notebook 1
nazli-d / Binary-Classification-Using-CNN
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks keras numpy opencv python tensorflow flatten max-pooling relu-activation sigmoid-function
Language:Python 1
Safaa-p / Backpropagation-function
Backpropagation in neural networks
backpropagation backpropagation-neural-network neural-network sigmoid-function
Language:Jupyter Notebook 1

sigmoid-function

OSSpk / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

Ankushr785 / Emotion-recognition-from-tweets

dataplayer12 / swish-activation

JuliaSzymanska / Artificial-Intelligence

aysebilgegunduz / FeedFwBackProp

AFAgarap / vanishing-gradients

deep0892 / ml_modeling

srilakshmi-thota / IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK

11808s8 / python-neural-network

AI-Expert-04 / Mario_DeepLearing

mb11797 / Image_Recognition_Cat_vs_Non-Cat_Pytorch

alevkov / rbnet

barathvaj / Machine-Learning-From-Scratch-CodingChallenge

bhattbhavesh91 / activiation-functions

hadpro24 / scratch-binary-linear-classification

Zahra-Bakhtiari / Building-Deep-Neural-Network-Step-by-Step-Instruction

akomarla / predict_npi_bugs

beingbat / neural-nets

Best-Brain-Gang / twitter_sentiment_analysis

binglel / mnist_bp

KhaledAshrafH / Logistic-Regression

matheuscamposmt / nn-from-scratch

MaverickTse / SigDecontrastAviutl

melchisedech333 / xor-neural-network

PratikhyaManas / Credit-Card-Frauid-Detection-using-Deep-Learning

priyal6 / Credit-Card-Fraud-Detection

sadighian / hand_crafted_models

Siddhipatade / Activation-function

Umartahir93 / Digit-Recognition-Using-Perception-Learning-sigmoid-activation-function-and-GA

yashsehgal / sigmoid-function-cpp

BalajiN743 / -Logistic-regression-bank-data-

bithabib / deep_learning_tutorial

bjhammack / from-scratch-logistic-regression

Krishnateja244 / Vanishing_Gradient

nazli-d / Binary-Classification-Using-CNN

Safaa-p / Backpropagation-function