#

dropout

Here are 86 public repositories matching this topic...

Iamsdt / DeployBNDegit

A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.

flask ai gunicorn pytorch dropout heroku-deployment cnn-classification relu pytorch-implementation bengali-digit

Updated May 1, 2023
Python

applesoju / DeepNeuralNetworks-P

cnn dropout classification convolutional-layers convolution convolutional-neural-networks mri-images convolutional-neural-network max-pooling cnn-from-scratch dense-layer

Updated Jan 31, 2023
Python

Honolulu69 / Schiz

Neural Network aided diagnosis of Schizophrenia via patient-centered text Data

dropout ann schizophrenia text-datasets

Updated Dec 13, 2022
Python

machine_learning_smartnet_2

dserbano / machine_learning_smartnet_2

2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

python machine-learning dropout neural-networks classification convolutional-neural-networks support-vector-machines multi-label-classification convolutional radial-basis-function backpropagation-algorithm softmax tanh pooling sigmoid-function relu digit-classifier lecun

Updated Feb 28, 2020
Python

being-aerys / Deep_Learning_CS535_Winter-2019

deep-learning cnn pytorch dropout batch-normalization adaptive-learning cifar10 data-augmentation adagrad rmsprop adam-optimizer

Updated May 19, 2019
Python

JacekPyra / NumpyNN

Implementation of neural network in NumPy with Keras like interface

network numpy dropout layer implementation neural dense

Updated Nov 19, 2021
Python

Honolulu69 / Successful-Aging

Machine learning Algorithms for the Prediction of Successful Aging in Older Adults

svm naive-bayes dropout population ann aging

Updated Dec 13, 2023
Python

gugarosa / dropout_rbm

📄 Official implementation regarding the paper "Fine-Tuning Dropout Regularization in Energy-Based Deep Learning".

paper dropout rbm implementation fine-tuning

Updated Oct 6, 2022
Python

kzhai / Lasagne

Lightweight library to build and train neural networks in Theano

machine-learning computer-vision deep-learning dropout neural-networks

Updated Mar 30, 2020
Python

anantSinghCross / handwritten-digit-recognition

Training and Deployment Neural Networks model (using keras) to recognize handwritten digits

machine-learning deep-neural-networks neural-network tensorflow cnn python3 dropout flask-api handwritten-digit-recognition keras-tensorflow dense sequential-models

Updated Apr 14, 2019
Python

Baksonator / fashionMNIST-classifier

Convoluted Neural Network for classifying the FashionMNIST data set. Recognition of multiple clothing objects on the same picture with noise using the trained model and OpenCV.

training opencv machine-learning deep-learning model machine-learning-algorithms dropout batch-normalization edge-detection convolutional-neural-networks contours thresholding bounding-boxes rmsprop image-procesing denoising fashion-mnist

Updated Sep 29, 2019
Python

fraunhofer-iais / wasserstein-dropout

Wasserstein dropout (W-dropout) is a novel technique to quantify uncertainty in regression networks. It is fully non-parametric and yields accurate uncertainty estimates - even under data shifts.

python dropout uncertainty-neural-networks regression-models

Updated Aug 17, 2022
Python

beandkay / CheckerboardDropout

Code for Checkerboard Dropout paper

dropout image-classification image-recognition regularization

Updated Jan 10, 2023
Python

atul04 / Feed-Forward-Neural-Network-Based-Classifier-Facebook-Post

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

Updated Nov 6, 2018
Python

naoki-vn634 / MCDropout

Implementation of Monte Carlo Dropout for Bayesian Convolutional Neural Network, Investigating Uncertainty of DeepNeuralNetwork

monte-carlo dnn bayesian-network uncertainty dropout

Updated Mar 11, 2021
Python

lovesaroha / Learning-Neural-Networks

Various concepts of neural networks applied in python (numpy) to help people get started with AI.

python neural-network numpy dropout batch-normalization logistic-regression regularization gradient-descent

Updated Sep 17, 2021
Python

parkjjoe / SNN-aware-dropout

Develop SNN-aware Noise Addition Layers

spike dropout neuromorphic snn

Updated Apr 12, 2024
Python

arkanivasarkar / Deep-Learning-from-Scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

deep-learning neural-network numpy optimizer cnn dropout rnn feedforward-neural-network pooling batchnorm university-assignment oops-in-python cross-entropy-loss activation-functions neural-networks-from-scratch

Updated May 20, 2023
Python

shimazadeh / Neural_Networks

the implementation of a multilayer perceptron

machine-learning neural-network dropout feedforward-neural-network gradient-descent backpropagation regularization-methods optuna

Updated Nov 4, 2023
Python

trajkd / Behavioral-Cloning

Behavioral Cloning (project 4 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

python machine-learning deep-learning keras cnn dropout convolutional-neural-networks behavioral-cloning transfer-learning convolutional-neural-network keras-models keras-neural-networks cnn-keras keras-tensorflow pooling neural-networks-from-scratch transfer-learning-with-cnn keras-model

Updated Jul 26, 2020
Python

Improve this page

Add a description, image, and links to the dropout topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the dropout topic, visit your repo's landing page and select "manage topics."