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The Top 22 Sigmoid Function Open Source Projects

Open source projects categorized as Sigmoid Function
Categories > Sigmoid Function
Handwritten Digits Classification Using Knn Multiclass_perceptron Svm ⭐ 32
🏆 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.
most recent commit 2 years ago
Emotion Recognition From Tweets ⭐ 14
A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.
most recent commit 5 years ago
Swish Activation ⭐ 10
Repo for my blogs explaining swish activation function
most recent commit 5 years ago
Artificial Intelligence ⭐ 6
Implementing Artificial Neural Network training process in Python
most recent commit 3 years ago
Vanishing Gradients ⭐ 4
Avoiding the vanishing gradients problem by adding random noise and batch normalization
most recent commit 2 years ago
Mario_deeplearing ⭐ 4
유전알고리즘과 인공신경망을 활용허여 마리오 학습
most recent commit a month ago
Nn From Scratch ⭐ 3
Development of a Neural Network from scratch to predict divorce in marriages.
most recent commit 7 months ago
Scratch Binary Linear Classification ⭐ 3
binary linear classification from scratch with sigmoid function based gradient decente
most recent commit 9 months ago
Image_classification_task_nn ⭐ 2
Image classification using neural networks. Completed for school. Part 1 is a classical 80s style shallow network, and part 2 is a more modern network. For part 2, I added activation functions, implemented L2 Regularization, changed network depth and width, and used Convolutional Neural Nets to improve performance. Check README
most recent commit a year ago
Seayon ⭐ 2
Open source Convolutional Neural Network library in C++ with lots of easy to use features.
most recent commit 4 days ago
Building Deep Neural Network Step By Step Instruction ⭐ 2
building a deep neural network with as many layers as you want!
most recent commit 6 months ago
Activiation Functions ⭐ 2
Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
most recent commit 2 years ago
Machine Learning From Scratch Codingchallenge ⭐ 2
Implement Linear Regression, Logistic Regression, Neural networks and many other
most recent commit 5 years ago
Convolutionalneuralnetwork To Classify Dogvscat ⭐ 2
Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling size. Then this Convolutional layer Connects to DeepNeuralNetwork. DNN has three hidden layer and output layer having Sigmoid Activation function. I traine
most recent commit 2 years ago
Credit Card Fraud Detection ⭐ 1
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.
most recent commit 14 days ago
Python Neural Network ⭐ 1
A simple neural network with backpropagation used to recognize ASCII coded characters
most recent commit 3 years ago
Neural Network Logic Gates ⭐ 1
This repository provides the Implementation of logic gates using neural networks.
most recent commit 2 years ago
Multilayerperceptronfnn ⭐ 1
An abstract implementation of a Multilayered Perceptron (Multilayered Feedforward Neural Network). Provides a well-documented API which exposes a wrapper around the whole process (all the way from network config, to modelling, to training and predicting). Built in Python.
most recent commit 2 years ago
Machinelearning ⭐ 1
most recent commit a year ago
Classic Ml ⭐ 1
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
most recent commit 9 months ago
Global_tropopause_model ⭐ 1
Global empirical models for tropopause height determination
most recent commit 7 months ago
Xor Neural Network ⭐ 1
🤖 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.
most recent commit 5 months ago
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