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relu-activation

Here are 93 public repositories matching this 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.

python machine-learning optimization relu-activation

Updated Oct 29, 2021
Python

EPSOFT / layers

layers

tensorflow layers attention sequential flatten dense relu sequential-models relu-layer conv2d relu-activation maxpooling2d noisy-regularization globalmaxpooling1d

Updated Dec 30, 2022
Jupyter Notebook

luca-parisi / quantum_relu

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

Updated May 1, 2024
Python

UsmanNiazi / Chatbot-with-Pytorch

A Feed Forward Neural Network which a ReLU activation, Cross Entropy Loss & Adam Optimizer

neural-network natural-language chatbot pytorch cross-entropy-loss relu-activation

Updated Oct 25, 2020
Jupyter Notebook

amirrezarajabi / Neural-Network-implementation-from-scratch

implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)

deep-learning neural-network numpy cnn sgd convolution gradient-descent ann maxpooling adam fully-connected-network adam-optimizer implementation-from-scratch sigmoid-activation relu-activation

Updated Oct 9, 2022
Python

Mario_DeepLearing

AI-Expert-04 / Mario_DeepLearing

유전알고리즘과 인공신경망을 활용허여 마리오 학습

deep-learning artificial-neural-networks sigmoid-function geneticalgorithm relu-activation elite-conservation

Updated Jun 29, 2023
Python

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.

neural-network numpy image-processing python3 image-recognition matplotlib neural-machine-translation cv2 matplotlib-pyplot relu-activation

Updated Mar 13, 2023
Jupyter Notebook

FahdSeddik / FeedForward-NeuralNetwork-from-scratch

This is a Feed-Forward Neural Network with back-propagation written in C++ from scratch with no external libraries.

deep-learning neural-network cpp neural-networks feedforward-neural-network backpropagation object-oriented-programming backpropagation-neural-network sigmoid-activation neuralnetwork-creation relu-activation

Updated Jul 30, 2022
C++

groshanlal / NN2Rules

Explain fully connected ReLU neural networks using rules

machine-learning neural-networks interpretability interpretable-ai explainable-ai fully-connected-deep-neural-network rule-learning explainability relu-activation

Updated Jul 26, 2022
Python

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.

python json machine-learning deep-learning neural-network sklearn exploratory-data-analysis dropout matplotlib learning-rate normalization epoch keras-tensorflow dense activation-functions sequencial relu-activation

Updated May 31, 2023
Jupyter Notebook

kshitijzutshi / INFO6105-CNN-Assignment

My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦

pytorch kaggle image-classification xavier-initializer elu-activation adam-optimizer pytorch-cnn sgd-optimizer kaiminghe pytorch-implementation intel-image-classification relu-activation crossentropyloss nll-loss

Updated Dec 12, 2021
Jupyter Notebook

dcarpintero / nn-image-classifier

Python from-scratch implementation of a Neural Network Classifier

python deep-learning image-classification gradient-descent backpropagation multilayer-perceptron fashion-mnist relu-activation linear-layers dropout-layers

Updated Apr 11, 2024
Jupyter Notebook

Siddhipatade / Activation-function

Activation Function which used in neural network

python jupyter-notebook neural-networks sigmoid-function activation-functions relu-activation tanh-activation softmax-activation linear-activation-function

Updated May 28, 2023
Jupyter Notebook

Ghazaleh99 / Image_compression_mlp

Image Compression using one hidden layer Neural Network

python numpy mse multilayer-perceptron convert-image-to-array sigmoid-activation relu-activation

Updated Dec 14, 2022
Jupyter Notebook

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.

python ai neural-network optimizer torch python3 pytorch artificial-intelligence neural-networks classification artificial-neural-networks softmax adam-optimizer categorical-cross-entropy categorical-data activation-functions torchvision relu-activation crossentropyloss

Updated Jul 3, 2023
Python

Stefan-Radu / fakeMLlibrary

Minimal, limited in features, deep learning library, created with the goal of understanding more of the field.

machine-learning deep-learning neural-network ml mnist neural-networks backpropagation fully-connected-network sigmoid-activation relu-activation

Updated Sep 14, 2022
Python

swooshcode / Quantum_Capstone_Spring2024

Project inspired by a book titled, "Artificial Intelligence," by Copeland. One of the World's first Quantum Neural Networks ever invented.

numpy quantum scikit-learn quantum-computing neural-networks matplotlib quantum-algorithms quantum-machine-learning relu-layer cirq relu-activation

Updated Apr 23, 2024
Jupyter Notebook

MitchellShibilski-Unkel / PyAI

Open-source AI library (audio to text, simple NLP and algorithms)

python nlp machine-learning ai pytorch rnn machine-learning-library part-of-speech knn whisper nlp-machine-learning part-of-speech-tagger softmax relu-activation audio-to-text mitchell-shibilski-unkel pyai

Updated May 10, 2024
Python

Grafit24 / DL-Framework-Numpy

Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".

deep-learning algorithms numpy dropout batch-normalization mlp rmsprop adam-optimizer softmax-layer cross-entropy-loss nadam sigmoid-activation relu-activation

Updated Jan 29, 2023
Python

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.

computer-vision tensorflow numpy pandas python3 artificial-neural-networks convolutional-neural-networks resnet-50 mae relu-activation

Updated Aug 7, 2023
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