Topic: sigmoid-function Goto Github
Some thing interesting about sigmoid-function
Some thing interesting about sigmoid-function
sigmoid-function,A simple neural network with backpropagation used to recognize ASCII coded characters
User: 11808s8
sigmoid-function,Using Logistic Regression Classifier to Predict Target Using Three Features
User: abhishek010397
sigmoid-function,Neural network with 2 hidden layers
User: achyutb6
sigmoid-function,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 trained this model for 31 epochs and achieved an accuracy of around 85%. I found this massive image dataset online which has 10,028 images(Ten Thousand and Twenty Eight). My model Predicted accurately during the testing phase. I even tested my model using my neighbor dog's pic and it predicted accurately.
User: adityathedev
sigmoid-function,Avoiding the vanishing gradients problem by adding random noise and batch normalization
User: afagarap
sigmoid-function,์ ์ ์๊ณ ๋ฆฌ์ฆ๊ณผ ์ธ๊ณต์ ๊ฒฝ๋ง์ ํ์ฉํ์ฌ ๋ง๋ฆฌ์ค ํ์ต
User: ai-expert-04
sigmoid-function,Predict number of JIRA bugs in SSD engineering dev process as a proxy for market readiness
User: akomarla
sigmoid-function,
User: akshayush
sigmoid-function,A neural network implementation in Ruby.
User: alevkov
sigmoid-function,A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.
User: ankushr785
sigmoid-function,To learn-n-fun by implementing Sigmoid function using DAX
User: apanasara
sigmoid-function,Linear Regression Model, Gradient Descent Learning along with various basis funtions such siogmoidal, Gaussian, p-Norms, L2-regulariztion, GOAL: - To predict Facebook's post likes
User: atul04
sigmoid-function,Simple multi layer perceptron application using feed forward back propagation algorithm
User: aysebilgegunduz
sigmoid-function,Implement Linear Regression, Logistic Regression, Neural networks and many other
User: barathvaj
sigmoid-function,Neural Networks from scratch (Inspired by Michael Nielsen book: Neural Nets and Deep Learning)
User: beingbat
sigmoid-function,This uses NLP sentiment analysis to analyze the Twitter data and the behaviour of stock prices particularly for Blizzard and CodeProjekt Red.
Organization: best-brain-gang
sigmoid-function,Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function
User: bhattbhavesh91
sigmoid-function,mnist data training and testing with back propagation
User: binglel
sigmoid-function,A fully-functioning logistic regression model using only python and numpy.
User: bjhammack
sigmoid-function,Three layer perceptron. Generates varied character images from scratch so does not depend on an existing dataset, like MNIST. Can train for an arbitrarily long time due to the open ended nature of the dataset. Contains a basic user interface.
User: corey33p
sigmoid-function,Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
User: daodavid
sigmoid-function,Repo for my blogs explaining swish activation function
User: dataplayer12
sigmoid-function,binary linear classification from scratch with sigmoid function based gradient decente
User: hadpro24
sigmoid-function,This repository contains Python notebook which contains creation of simple neural network. I have used synthesised 2 cluster dataset to train the network and test it.
User: harshpatel44
sigmoid-function,Building Generative Adversarial Networks
User: himasai97
sigmoid-function,Some algorithms which uses neural networks to solve i.e., forwardpropagation , etc.,
User: imkalyan
sigmoid-function,Implementing Artificial Neural Network training process in Python
User: juliaszymanska
sigmoid-function,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.
User: khaledashrafh
sigmoid-function,This repository helps in understanding vanishing gradient problem with visualization
User: krishnateja244
sigmoid-function,Development of a Neural Network from scratch to predict divorce in marriages.
User: matheuscamposmt
sigmoid-function,SigmoidalContrast interface with ImageMagick backend
User: mavericktse
sigmoid-function,Sigmodial decontrast interface with IM backend
User: mavericktse
sigmoid-function,A classifier to differentiate between Cat and Non-Cat Images
User: mb11797
sigmoid-function,๐ค 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.
User: melchisedech333
sigmoid-function,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.
User: nazli-d
sigmoid-function,๐ 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.
Organization: osspk
Home Page: https://github.com/harismuneer
sigmoid-function,Global empirical models for tropopause height determination
Organization: pjmateus
sigmoid-function,The objective of this project is to identify the fraudulent transactions happening in E-Commerce industry using deep learning.
User: pratikhyamanas
sigmoid-function,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.
User: priyal6
sigmoid-function,Logistic Regression implementation from scratch using vectorization
User: ralhusban
sigmoid-function,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.
User: razvanberbece
sigmoid-function,โข Trained the network for MNIST dataset โข Implemented neural network on MNIST dataset by using Sigmoid, ReLU, ELU as the activation function. โข Analyzed networkโs running time, error rate, efficiency and accuracy.
User: rbhanush
sigmoid-function,Popular predictive models and optimizers implemented in pure Python.
User: sadighian
sigmoid-function,Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.
User: srilakshmi-thota
sigmoid-function,All pair approach to recognize handwritten digits based on the MNIST dataset.
User: umartahir93
sigmoid-function,This is an example machine learning programming using C++. I have created an example of Sigmoid function in C++.
User: yashsehgal
sigmoid-function,building a deep neural network with as many layers as you want!
User: zahra-bakhtiari
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