Topic: relu-activation Goto Github
Some thing interesting about relu-activation
Some thing interesting about relu-activation
relu-activation,유전알고리즘과 인공신경망을 활용허여 마리오 학습
User: ai-expert-04
relu-activation,It predicts whether the patient has Heart Disease or not
User: alphaclasher
relu-activation,implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
User: amirrezarajabi
relu-activation,Get Started with Deep Learning
User: dcarpintero
relu-activation,Python from-scratch implementation of a Neural Network Classifier
User: dcarpintero
relu-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
relu-activation,layers
User: epsoft
Home Page: https://www.epsoft.ir
relu-activation,Text Generation
User: epsoft
Home Page: https://www.epsoft.ir
relu-activation,This is a Feed-Forward Neural Network with back-propagation written in C++ from scratch with no external libraries.
User: fahdseddik
relu-activation,Image Compression using one hidden layer Neural Network
User: ghazaleh99
relu-activation,Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
User: grafit24
relu-activation,Explain fully connected ReLU neural networks using rules
User: groshanlal
relu-activation,Good Seed were employed Data Science for alcohol law compliance. My role includes using specialized cameras at checkout for alcohol buys, applying advanced computer vision for age verification, and designing a model to confirm age. I built a model with ResNet50 and 'relu', using a single neuron to output.
User: gunturwibawa
relu-activation,Here, we will provide a PyTorch regime to handle the partial differential equation solution of the heat equation by executing Deep Kolmogorov Method of Beck et. al.
User: himanshuvnm
relu-activation,Building Generative Adversarial Networks
User: himasai97
relu-activation,Applying neural networks on the MNIST dataset (from scratch & using tf)
User: isa1asn
relu-activation,"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
User: jelhamm
relu-activation,NU Bootcamp Module 21
User: jleigh101
relu-activation,Experimenting different neural network architectures for detecting spam emails
User: joeebbykaruthedath
relu-activation,Deep-Learning neural network to analyze and classify the success of charitable donations.
User: karla-flores
relu-activation,Detailed implementation of dynamic ReLU
User: kikirizki
relu-activation,This repository helps in understanding vanishing gradient problem with visualization
User: krishnateja244
relu-activation,My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦
User: kshitijzutshi
relu-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/
relu-activation,QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
User: luca-parisi
Home Page: https://bradscholars.brad.ac.uk/handle/10454/18613
relu-activation,This project involves the use of classical neural networks for the computation of the heat equation with Neumann boundary conditions and a gaussian distribution as initial condition.
User: luciods
relu-activation,learning python day 11
User: maryamsoftdev
relu-activation,American Sign Language (ASL) Detection using CNN
User: mayur-kyatham
Home Page: https://mayur-kyatham.github.io/SignoSpeak/
relu-activation, Face Mask Detection with Convolutional Neural Networks . Used Convolution, ReLU, Pooling in layers of neural network architecture followed by flatten dense with softmax activation to classify images into mask/no mask labels.
User: meenakshisharma2367
relu-activation,This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.
User: megarajan-s
relu-activation,Open-source AI library (audio to text, simple NLP, and common algorithms)
User: mitchellshibilski-unkel
relu-activation,This repository contains codes in python to categorize images from CIFAR-10 data set by using Convolutional Neural Network (CNN)
User: namitnaik
relu-activation,prediction of an absolute temperature on the surface of a star using neural networks
User: natalliakarnilava
relu-activation,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
relu-activation,Image classification of handwritten numbers in MNIST dataset.
User: pavithra-rajan
relu-activation,With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.
Organization: process-intelligence-research
relu-activation,An artificial neural network used for distinguishing between signal and continuum B events in Belle II monte carlo based on event topology. Competition submission for Belle II CNN competition, placed 5th with 95% efficiency.
User: psgebeline
Home Page: https://www.kaggle.com/competitions/cshandson/
relu-activation,The main aim of this project is to built a predictive model using G Store data to predict the TOTAL REVENUE per customer that helps in better use of marketing budget.
User: rajk01
relu-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
relu-activation,Various applications of deep learning have been demonstrated.
User: sandy0002
relu-activation,Hackathon project. This project uses object detection to identify and classify waste detected in the image with the help of image detection in python and neural networks.
User: shubanms
relu-activation,Minimal, limited in features, deep learning library, created with the goal of understanding more of the field.
User: stefan-radu
relu-activation,Using neural network binary classification to predict if donations to organizations are successful.
User: stephperillo
relu-activation,Project inspired by a book titled, "Artificial Intelligence," by Copeland. One of the World's first Quantum Neural Networks ever invented.
User: swooshcode
Home Page: https://tinyurl.com/ai-book1
relu-activation,This repository contains code that implemented Mask Detection using MobileNet as the base model and Neural Network as the head model. Code draws a rectangular box over the person's face in red if no mask, green if the mask is on, with 99% accuracy in real-time using a live webcam. Refer to README for demo
User: tejas-ta
Home Page: https://github.com/Tejas-TA/Face-Mask-Detection-Real-Time-Computer-Vision
relu-activation,The repository consists of a recommendation engine that suggests movies to the users based on the genre and ratings previously received. Under the hood, a neural collaborative filtering technique has been implemented
User: tejas-ta
relu-activation,A Feed Forward Neural Network which a ReLU activation, Cross Entropy Loss & Adam Optimizer
User: usmanniazi
relu-activation,"A TensorFlow-based neural network model for classifying handwritten digits from the MNIST dataset."
User: youssefelweshahi
relu-activation,Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.
User: zohaibterminator
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.