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dropout

Here are 85 public repositories matching this topic...

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

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

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

Convolution-Pooling-Dropout-Scratch-code

ahmadali-jamali / Convolution-Pooling-Dropout-Scratch-code

Manual pure scratch code of Convolution-Pooling-Dropout

deep-learning image-processing dropout convolution convolutional-neural-networks image-segmentation pooling

Updated Mar 2, 2023
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

tasptz / pytorch-stochastic-depth

Deep Networks with Stochastic Depth for PyTorch

pytorch dropout regularization stochastic-depth

Updated Jul 5, 2021
Python

CharlesAverill / kerastroke

A suite of the generalization-improvement techniques Stroke, Pruning, and NeuroPlast

machine-learning neural-network artificial-intelligence dropout psychology

Updated May 6, 2020
Python

gianlucatruda / Spo2_evaluation

Covid-19 | Quantifying Uncertainty in Blood Oxygen Estimation Models from Real-World Data

data machine-learning bioinformatics deep-neural-networks medicine dropout covid-19 covid

Updated Aug 25, 2020
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

agiokap / Dogs-vs-Cats-An-Image-Classification-Task-using-TensorFlow

In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats".

python deep-learning dropout convolutional-neural-networks transfer-learning callbacks data-augmentation keras-tensorflow dogs-vs-cats binary-image-classification early-stopping learning-rate-scheduling

Updated May 7, 2022
Python

mabirck / adaptative-dropout-pytorch

Pytorch implementation of Adaptative Dropout a.ka Standout.

machine-learning deep-neural-networks deep-learning python3 pytorch artificial-intelligence dropout neural-networks artificial-neural-networks dist regularizer

Updated Feb 22, 2018
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

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

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

NamCyan / ALV

[PAKDD 2022] Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning

dropout continual-learning auxiliary-variable

Updated Aug 16, 2023
Python

dendisuhubdy / fraternal-dropout

Fraternal Dropout (Research)

deep-learning artificial-intelligence dropout regularization

Updated Nov 7, 2017
Python

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