relu-activation

There are 1 repository under relu-activation topic.

process-intelligence-research / ReLU_ANN_MILP
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.
optimization machine-learning python relu-activation
Language:Python 62
luca-parisi / quantum_relu
QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch
deep-neural-networks tensorflow keras relu relu-layer relu-activation activation activation-functions quantum quantum-algorithms quantum-machine-learning keras-tensorflow keras-neural-networks keras-models keras-classification-models neural-network neural-networks deep-learning pytorch torch
Language:Python 14
EPSOFT / layers
layers
layers attention conv2d dense flatten maxpooling2d noisy-regularization relu relu-activation relu-layer sequential sequential-models tensorflow globalmaxpooling1d
Language:Jupyter Notebook 12
UsmanNiazi / Chatbot-with-Pytorch
A Feed Forward Neural Network which a ReLU activation, Cross Entropy Loss & Adam Optimizer
chatbot cross-entropy-loss natural-language neural-network pytorch relu-activation
Language:Jupyter Notebook 9
amirrezarajabi / Neural-Network-implementation-from-scratch
implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)
neural-network ann deep-learning implementation-from-scratch numpy adam adam-optimizer cnn convolution fully-connected-network gradient-descent maxpooling relu-activation sgd sigmoid-activation
Language:Python 7
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
dcarpintero / nn-image-classifier
Python from-scratch implementation of a Neural Network Classifier. Dive into the fundamentals of approximation, non-linearity, regularization, gradients, and backpropagation.
backpropagation deep-dives deep-learning dropout-layers fashion-mnist gradient-descent image-classification linear-layers multilayer-perceptron python relu-activation
Language:Jupyter Notebook 4
groshanlal / NN2Rules
Explain fully connected ReLU neural networks using rules
explainability explainable-ai fully-connected-deep-neural-network interpretability interpretable-ai machine-learning neural-networks relu-activation rule-learning
Language:Python 4
FahdSeddik / FeedForward-NeuralNetwork-from-scratch
This is a Feed-Forward Neural Network with back-propagation written in C++ from scratch with no external libraries.
cpp deep-learning neural-network neural-networks object-oriented-programming backpropagation backpropagation-neural-network feedforward-neural-network relu-activation sigmoid-activation neuralnetwork-creation
Language:C++ 3
shubanms / VOIS_hackathon_project
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.
cv2 image-processing image-recognition matplotlib matplotlib-pyplot neural-machine-translation neural-network numpy python3 relu-activation
Language:Jupyter Notebook 3
Ghazaleh99 / Image_compression_mlp
Image Compression using one hidden layer Neural Network
numpy convert-image-to-array mse multilayer-perceptron python relu-activation sigmoid-activation
Language:Jupyter Notebook 2
jElhamm / Activation-Functions
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
activation-functions algorithms artificial-intelligence-algorithms artificial-neural-networks python elu-activation gaussian gelu leakyrelu maxout prelude relu relu-activation selu sigmoid sigmoid-activation sigmoid-activation-function swish tanh tanh-activation
Language:Python 2
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 2
kshitijzutshi / INFO6105-CNN-Assignment
My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦
pytorch pytorch-implementation pytorch-cnn image-classification kaggle intel-image-classification relu-activation elu-activation xavier-initializer kaiminghe adam-optimizer sgd-optimizer crossentropyloss nll-loss
Language:Jupyter Notebook 2
MEGARAJAN-S / ARTIFICIAL-NEURAL-NETWORK
This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.
activation-functions adam-optimizer ai artificial-intelligence artificial-neural-networks categorical-cross-entropy categorical-data classification crossentropyloss neural-network neural-networks optimizer python python3 pytorch relu-activation softmax torch torchvision
Language:Python 2
MitchellShibilski-Unkel / PyAI
Open-source AI library (audio to text, simple NLP, and common algorithms)
ai knn mitchell-shibilski-unkel rnn pyai nlp nlp-machine-learning whisper audio-to-text machine-learning machine-learning-library pytorch relu-activation softmax part-of-speech part-of-speech-tagger bert bert-model transformers artificial-intelligence
Language:Python 2
Stefan-Radu / fakeMLlibrary
Minimal, limited in features, deep learning library, created with the goal of understanding more of the field.
backpropagation deep-learning fully-connected-network machine-learning ml neural-network relu-activation sigmoid-activation mnist neural-networks
Language:Python 2
aLPHAClASHEr / Disease-predictor-Neural-nets
It predicts whether the patient has Heart Disease or not
adam-optimizer densenet heart-disease machine-learning-algorithms neural-network python relu-activation sequential-models
Language:Jupyter Notebook 1
anilkus / Simultaneous-Multi-Task-Learning
A multi-task deep learning model that solves multiple tasks concurrently. Specifically, the model is designed to be effective in multiple contexts (e.g., classification, segmentation, regression) simultaneously.
classification cnn deep-learning keras multitask-learning numpy python regression relu-activation segmentation simultaneous tensorflow
Language:Python 1
Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images
EliaFantini / Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images
Noise2Noise is an AI denoiser trained with noisy images only. We implemented a ligther version which trains faster on smaller pictures without losing performance and an even simpler one where every low-level component was implemented from scratch, including a reimplementation of autograd.
2d-convolution adam-optimizer autograd autograd-engine denoiser denoiser-network mean-square-error noise-reduction noise2noise python pytorch pytorch-framework pytorch-implementation relu-activation sigmoid-function unet sequential-pytorch
Language:Jupyter Notebook 1
EPSOFT / Text-Generation
Text Generation
generation pandas text text-generation farsi persian relu relu-activation relu-layer relu-network
Language:Jupyter Notebook 1
Grafit24 / DL-Framework-Numpy
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
adam-optimizer algorithms batch-normalization cross-entropy-loss deep-learning dropout mlp nadam numpy relu-activation rmsprop sigmoid-activation softmax-layer
Language:Python 1
GunturWibawa / CustomerSegmentSupermarket
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.
artificial-neural-networks convolutional-neural-networks numpy pandas python3 relu-activation resnet-50 tensorflow computer-vision mae
Language:Jupyter Notebook 1
himanshuvnm / PyTorch-regime-for-Deep-Kolmogorov-Method-for-Heat-Equation
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.
gelu heat-equation initial-value-problem partial-differential-equations pytorch relu-activation deep-kolmogorov-method
Language:Jupyter Notebook 1
JLeigh101 / deep-learning-challenge
NU Bootcamp Module 21
activation-functions deep-learning get-dummies hidden-layers keras-tensorflow machine-learning model-optimization model-training-and-evaluation neural-network predictive-modeling python standardscaler dataframe pandas scikit-learn relu-activation sigmoid-activation tanh-activation
Language:Jupyter Notebook 1
JoeEbbyKaruthedath / Nueral-Net-Spam-Detection
Experimenting different neural network architectures for detecting spam emails
neural-network machine-learning machine-learning-algorithms scikitlearn-machine-learning spam-detection relu-activation
Language:Python 1
Karla-Flores / Neural-Network--Charity-Donation
Deep-Learning neural network to analyze and classify the success of charitable donations.
colaboratory neural-network neurons perceptron hidden-layers relu-activation sigmoid-activation tensorflow seaborn deep-learning
Language:Jupyter Notebook 1
Kushashu-1 / Activation_function
It is small Web app for Visualization of Activation Function
activation-functions deep-learning relu-activation sigmoid-activation
Language:Python 1
luciods / Deep-Learning-for-Heat-Equation-with-Neumann-Conditions
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.
deep-learning heat-equation neumann-bc partial-differential-equations pde physics python relu-activation tensorflow
1
maryamsoftdev / All-About-Neural-Networks
learning python day 11
crossentropyloss feedforward-neural-network hiddenlayer loss-functions neural-network numpy relu-activation softmax
Language:Jupyter Notebook 1
Mayur-Kyatham / SignoSpeak
American Sign Language (ASL) Detection using CNN
cnn dataset fully-connected-layer gaussian-blur gaussian-processes max-pooling relu relu-activation sign-language-recognition signlanguage tkinter tkinter-gui asl asl-recognizer convolution convolutional-neural-networks
Language:HTML 1
natalliakarnilava / neural_network_building
prediction of an absolute temperature on the surface of a star using neural networks
adam-optimizer batchnormalization dropout matplotlib matplotlib-pyplot neural-network neural-networks numpy pytorch relu relu-activation seaborn seaborn-plots sklearn
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 flatten keras max-pooling numpy opencv python relu-activation sigmoid-function tensorflow
Language:Python 1
RajK01 / Google-Customer-Revenue-Prediction
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.
deep-learning exploratory-data-analysis keras-tensorflow machine-learning neural-network python epoch json learning-rate matplotlib relu-activation normalization dense dropout activation-functions sequencial sklearn
Language:Jupyter Notebook 1
SameetAsadullah / Neural-Network-Implementation
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)
activation-functions adagrad adam-optimizer cross-entropy-loss gradient-descent hinge-loss jupyter-notebook leaky-relu loss-functions mean-squared-error neural-network optimizers pycharm pycharm-ide python python3 relu-activation rmsprop sigmoid-activation softmax-activation
Language:Jupyter Notebook 1
YoussefElweshahi / -Hand-Written-Digit-Recognition-Model-
"A TensorFlow-based neural network model for classifying handwritten digits from the MNIST dataset."
colab-notebook keras nn python relu-activation
Language:Jupyter Notebook 1

relu-activation

process-intelligence-research / ReLU_ANN_MILP

luca-parisi / quantum_relu

EPSOFT / layers

UsmanNiazi / Chatbot-with-Pytorch

amirrezarajabi / Neural-Network-implementation-from-scratch

AI-Expert-04 / Mario_DeepLearing

dcarpintero / nn-image-classifier

groshanlal / NN2Rules

FahdSeddik / FeedForward-NeuralNetwork-from-scratch

shubanms / VOIS_hackathon_project

Ghazaleh99 / Image_compression_mlp

jElhamm / Activation-Functions

Krishnateja244 / Vanishing_Gradient

kshitijzutshi / INFO6105-CNN-Assignment

MEGARAJAN-S / ARTIFICIAL-NEURAL-NETWORK

MitchellShibilski-Unkel / PyAI

Stefan-Radu / fakeMLlibrary

aLPHAClASHEr / Disease-predictor-Neural-nets

anilkus / Simultaneous-Multi-Task-Learning

EliaFantini / Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images

EPSOFT / Text-Generation

Grafit24 / DL-Framework-Numpy

GunturWibawa / CustomerSegmentSupermarket

himanshuvnm / PyTorch-regime-for-Deep-Kolmogorov-Method-for-Heat-Equation

JLeigh101 / deep-learning-challenge

JoeEbbyKaruthedath / Nueral-Net-Spam-Detection

Karla-Flores / Neural-Network--Charity-Donation

Kushashu-1 / Activation_function

luciods / Deep-Learning-for-Heat-Equation-with-Neumann-Conditions

maryamsoftdev / All-About-Neural-Networks

Mayur-Kyatham / SignoSpeak

natalliakarnilava / neural_network_building

nazli-d / Binary-Classification-Using-CNN

RajK01 / Google-Customer-Revenue-Prediction

SameetAsadullah / Neural-Network-Implementation

YoussefElweshahi / -Hand-Written-Digit-Recognition-Model-