deep-residual-learning

There are 1 repository under deep-residual-learning topic.

iduta / iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
image-recognition imagenet pytorch image-classification deep-learning convolutional-neural-networks residual-networks cnn visual-recognition computer-vision machine-learning artificial-intelligence pattern-recognition residual-learning resnet iresnet neural-networks optimization-problem deep-neural-networks deep-residual-learning
Language:Python 232
shuokay / resnet
Deep Residual Learning for Image Recognition, http://arxiv.org/abs/1512.03385
deep-residual-learning cnn deep-learning
Language:Python 82
dnlcrl / deep-residual-networks-pyfunt
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
python residual-networks deep-residual-learning mnist image-recognition ipython-notebook image-classification numpy strider accuracy affine-layer cifar training
Language:Python 52
a-martyn / resnet
An implementation of the original "ResNet" paper in Pytorch
residual-networks deep-residual-learning paper convolution pytorch resnet deep-learning machine-learning
Language:Jupyter Notebook 27
iduta / coconv
[ICCV W] Contextual Convolutional Neural Networks (https://arxiv.org/pdf/2108.07387.pdf)
convolutional-neural-networks deep-residual-learning cnn pytorch deep-learning residual-networks image-classification neural-networks visual-recognition imagenet artificial-intelligence pattern-recognition residual-learning computer-vison machine-learning
Language:Python 13
KanishkNavale / DQN-DuelingDQN
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
mountaincar-v0 openai-gym-environment tensorflow deep-learning ddqn-pyotrch dqn-tensorflow reinforcement-learning pytorch deep-residual-learning deep-qlearning-algorithm deep-q-learning-network
Language:Python 4
yixindu1573 / Recursive-Deep-Residual-Learning-for-Single-Image-Dehazing-DRL
Recursive Deep Residual Learning for Single Image Dehazing (DRL)
deep-residual-learning dehazing recursive
Language:MATLAB 4
Chandra-cc / IDCBreastCancer_histopathologyImages_deepResidualLearning
IDC prediction in breast cancer histopathology images using deep residual learning with an accuracy of 99.37% in a subset of images containing a total of 7,500 microscopic images.
deep-residual-learning deep-learning-algorithms residual-learning microscopic-images idc-prediction convolutional-neural-networks grad-cam accuracy idc-dataset image-processing image-classification
Language:Jupyter Notebook 3
Chandra-cc / Pneumonia-diagnosis-using-deep-residual-learning-with-a-classification-accuracy-of-98.22
Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.
deep-residual-learning pneumonia convolutional-networks residual-learning separable-convolutions separable-convolution-paradigms max-poo dense keras keras-neural-networks chest-xray-images
Language:Jupyter Notebook 2
Ayush-Shirsat / EfficientNet_DR
CS 591 Deep learning Project
efficientnet computer-vision cnn diabetic-retinopathy-detection deep-residual-learning
Language:Jupyter Notebook 0
Chandra-cc / Object_Classification_Deep_Residual_Seperable_CNN_with_VGG16
Object_Classification_Deep_Residual_Seperable_CNN_with_VGG16
classification resnet-50 deep-learning deep-residual-learning keras keras-neural-networks cifar-10 cnn-classification convolutional-neural-networks residual-networks vgg16
Language:Jupyter Notebook 0
NatenaelTBekele / Facial-Expression-Emotion-Recognition-Model
The aim of this project is to classify people’s emotions based on their face images
data-normalization deep-residual-learning facial-expression-recognition facial-keypoints image-augmentation image-processing model-deployment neural-network tensorflow
Language:Jupyter Notebook 0
vargo96 / seminars
This repository contains my seminar work (literature review) for topics in Machine Learning, Pattern Recognition at Paderborn University. Each topic is in a separate folder and the folder name is the topic of my seminar work.
machine-learning pattern-recognition seminar monotonicity deep-learning deep-neural-networks convolutional-neural-networks literature-review deep-residual-learning
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