Topic: sigmoid-activation Goto Github
Some thing interesting about sigmoid-activation
Some thing interesting about sigmoid-activation
sigmoid-activation,A simple neural network with backpropagation used to recognize ASCII coded characters
User: 11808s8
sigmoid-activation,Simple densely connected neural network with sigmoid activation.
User: alecgarza
sigmoid-activation,Simple neural network
User: aleksandrmte
sigmoid-activation,implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
User: amirrezarajabi
sigmoid-activation,This repository contains a basic implementation of a feed forward neural network using TensorFlow and Keras to predict the onset of diabetes in Pima Indian women based on certain diagnostic measures. The dataset used for training and evaluation is the Pima Indians Diabetes Database, which is publicly available and widely used for machine learning
User: ana-0804
sigmoid-activation,Neural Network from scratch without any machine learning libraries
User: anshul1004
sigmoid-activation,Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.
User: b0s0
sigmoid-activation,Neural Networks and Deep Learning Models
User: cbrito3
sigmoid-activation,Used ANN to predict whether user will keep the subscription or not.
User: debasmitabhakat
sigmoid-activation,Deep Learning with python
User: dipesh-pokhrel
Home Page: https://github.com/Dipesh-Pokhrel/Deep-Learning
sigmoid-activation,Applying neural network with adam optimizer on heart failure clinical records dataset to compare test errors of sigmoid, tanh, and relu activation functions
User: djm160830
sigmoid-activation,This is a Feed-Forward Neural Network with back-propagation written in C++ from scratch with no external libraries.
User: fahdseddik
sigmoid-activation,How Neural Networks work inside
User: fraetor29
sigmoid-activation,Image Compression using one hidden layer Neural Network
User: ghazaleh99
sigmoid-activation,Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
User: grafit24
sigmoid-activation,Predict the case of Telco Customer Churn data set as a measure of the percentage of customer accounts that cancel by choosing not to renew their subscription (No) and continue to renew their service (YES). Measured based on actual usage or failure when getting telco service. Based on this, I will analyze churn using the Deep Learning ANN method.
User: hillidatulilmi
sigmoid-activation,Classification model using sigmoid activation with unknown class data
User: inzapp
sigmoid-activation,"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
User: jelhamm
sigmoid-activation,Used a Multilayer Perceptron (MLP) neural network to detect COVID-19 in lung scans.
User: jianninapinto
sigmoid-activation,NU Bootcamp Module 21
User: jleigh101
sigmoid-activation,The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.
User: jmarihawkins
sigmoid-activation,Implementing Artificial Neural Network training process in Python
User: juliaszymanska
sigmoid-activation,A simple neural network that defines functions for initializing a neural network, forward and backward propagation, and training. It uses a simple neural network architecture with sigmoid activation and binary cross-entropy loss for binary classification. The goal is to train the network to make accurate predictions for binary classification tasks.
User: justinyates887
sigmoid-activation,Deep-Learning neural network to analyze and classify the success of charitable donations.
User: karla-flores
sigmoid-activation,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-activation,This is a template I made while building a Deep Learning project.
User: kushalbhanot
sigmoid-activation,It is small Web app for Visualization of Activation Function
User: kushashu-1
Home Page: https://kushashu-1-activation-function-main-udl9mx.streamlit.app/
sigmoid-activation,A TensorFlow C++ extension implementing a piecewise-linear approximation of sigmoid activation function used in Beatmup.
User: lnstadrum
sigmoid-activation,🤖 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-activation,a multilayer neural net written in go
User: palumacil
sigmoid-activation,Simple DNN code, adapted from Nielsen
User: pmontalb
sigmoid-activation,
User: rpgupta30
sigmoid-activation,Predicting if a patient is diabetic or not by training a classification model using both Logistic regression and Artificial neural networks
User: saisravan549
sigmoid-activation,Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)
User: sameetasadullah
sigmoid-activation,Various applications of deep learning have been demonstrated.
User: sandy0002
sigmoid-activation,Deep Forward Architecture From Scratch
User: shubhamchouksey
sigmoid-activation,Minimal, limited in features, deep learning library, created with the goal of understanding more of the field.
User: stefan-radu
sigmoid-activation,A simple program in python to illustrate the workings of a neural network
User: subhi-x
sigmoid-activation,My beautiful Neural Network made from scratch and love. It plays the game Flappy-Birds!
User: sugaith
sigmoid-activation,Predict airline passenger amount with deep learning neural networks by using the Keras framework and Box & Jenkins Airline Passengers Dataset.
User: vcwild
sigmoid-activation,Image Classification, one of the techniques belonging to object recognition can be used in analysing objects appearing in an image.
User: vidhivijayvergiya
sigmoid-activation,Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.
User: zohaibterminator
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