conv2d

There are 0 repository under conv2d topic.

DebeshJha / ResUNetPlusPlus
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
unet tensorflow image-segmentation medical-image-segmentation unet-model resunet-architecture resunet resunet-plus-plus aspp attention residual-networks squeeze-and-excitation conv2d pytorch pytorch-implementation
Language:Python 162
TilliFe / Infermo
Tensors and dynamic Neural Networks in Mojo
autodiff automatic-differentiation ml modular mojo autograd-engine training neural-network autograd ai conv2d deep-learning mlp mnist transformer
117
vilari-mickopf / mmwave-gesture-recognition
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
mmwave mmwave-sensor awr1642 texas-instruments tensorflow gesture-recognition transformer-architecture keras python conv1d conv2d lstm neural-network resnet ai machine-learning
Language:Python 87
avik-pal / DeepLearningBenchmarks
Benchmarks across Deep Learning Frameworks in Julia and Python
gpu benchmark conv2d julia flux pytorch computer-vision machine-learning
Language:Julia 25
georgeyiasemis / 2D-Convolutional-Recurrent-Neural-Networks-with-PyTorch
2D Convolutional Recurrent Neural Networks implemented in PyTorch
convlstm convgru convrnn conv2d pytorch convolutional-neural-networks convolutional-rnn
Language:Python 18
PyNet
deep-learning-algorithm / PyNet
Numpy implementation of deep learning
deep-learning convolutional-neural-networks numpy nn conv2d maxpool bn dropout gap relu softmax fc lenet5 alexnet nin pynet
Language:Python 13
EPSOFT / layers
layers
layers attention conv2d dense flatten maxpooling2d noisy-regularization relu relu-activation relu-layer sequential sequential-models tensorflow globalmaxpooling1d
Language:Jupyter Notebook 11
sushantdhumak / Fashion-Clothing-Classification
Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
classification subplots reshaping splitting keras keras-classification-models keras-neural-networks adam-optimizer categorical-cross-entropy model-evaluation classification-report conv2d maxpooling dropout
Language:Jupyter Notebook 7
erfanhamdi / torch_PIV
This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
conv2d normalized-cross-correlation particle-image-velocimetry piv pytorch
Language:Python 6
marchete / Mokka
Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2
avx codingame conv2d convolutional dense-layer fully-connected fully-connected-layer inference-engine machine-learning machine-learning-algorithms mnist
Language:C++ 4
mdnuruzzamanKALLOL / CNN_Basic
CNN
cifar10 conv2d dense filters flatten globalaveragepooling kernel maxpool2d padding sequential strides
Language:Jupyter Notebook 3
spectre900 / People-Identification-using-Face-and-Gait
A project to perform people identification at a distance using face and gait data with deep learning
conv2d conv2dlstm deep-learning face-recognition gait-recognition encoder-decoder fusion-model
Language:Jupyter Notebook 3
aprameya2001 / People-Identification-using-Face-and-Gait
A project to perform people identification at a distance using face and gait data with deep learning
conv2d conv2dlstm deep-learning face-recognition gait-recognition people-identification
Language:Jupyter Notebook 2
fessuoyM / numpy-nDim-Convolution
A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.
numpy convolution convolutional-neural-networks 2d n-dimensional conv2d convnd fast python python3
Language:Python 2
iamnderitum / Deep-Neural-Network-for-Multi-class-Classification-of-Fashion-Items
This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.
cnn conv2d custom deep-learning fashion pytorch
Language:Python 2
mdnuruzzamanKALLOL / CNN-Implementation_1
Basic_CNN_Implementation
conv2d cv2 decod dense flatten keras listdir maxpool2d prediction preprocessing resnet-50 sequential tensorflow
Language:Jupyter Notebook 2
CNN-Implementation_2
mdnuruzzamanKALLOL / CNN-Implementation_2
Basic_CNN_Implementation
conv2d cv2 danse decode flatten keras listdir maxpool2d prediction processing resnet-50 sequential tensorflow
Language:Jupyter Notebook 2
ZJW-92 / Fashion-Class-Classification
In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset.
keras dropout adam-optimizer maxpooling conv2d cnn-keras cnn-classification
Language:Jupyter Notebook 2
abhishekchavannn / Image-Super-Resolution-SRCNN
Deployed the super-resolution convolution neural network (SRCNN) using Keras. Recovers a high-resolution image from a low-resolution input.
machine-learning srcnn keras conv2d
Language:Jupyter Notebook 1
AdityaTheDev / ConvolutionalNeuralNetwork-To-Classify-DogVsCat
Convolutional Neural Network to Classify Dogs and Cat. I built a ImageClassifier which classifies and tells you whether its a Dog image or a Cat image. I built a convolutional network which consists of Three Convolution layer and Three MaxPooling layer. Each Convolutional layer has filters, kernel size. Maxpooling layer has stride and pooling size. Then this Convolutional layer Connects to DeepNeuralNetwork. DNN has three hidden layer and output layer having Sigmoid Activation function. I trained this model for 31 epochs and achieved an accuracy of around 85%. I found this massive image dataset online which has 10,028 images(Ten Thousand and Twenty Eight). My model Predicted accurately during the testing phase. I even tested my model using my neighbor dog's pic and it predicted accurately.
deep-learning deepneuralnetworks convolutional-neural-networks imageclassifier neural-networks convnets conv2d sigmoid-function
Language:Jupyter Notebook 1
leolui2004 / atari_rl_ac
Reinforcement Learning with Actor-Critic to play Breakout-v4 (Atari) from OpenAI Gym
python reinforcement-learning actor-critic conv2d breakout atari
Language:Python 1
Lukas-Justen / Machine-Learning-Tutorials
A repository for machine learning problems and exploration of different ML libraries. The goal of this repository is to collect takeaways while developing ML models. This should improve my overall understanding of developing machine learning applications.
mnist lstm pytorch keras tensorflow conv2d
Language:Jupyter Notebook 1
meryemtetik / Image_Classification
CIFAR10 Dataset.
batch-normalization conv2d convolutional-neural-networks early-stopping flatten image-classification
Language:Jupyter Notebook 1
Preetirai-tech / Brain-Tumor-Detection
This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans.
cnn-classification deep-learning keras tensorflow computer-vision opencv batchnormalization conv2d earlystopping maxpool2d modelcheckpoint sequential-models
Language:Jupyter Notebook 1
sudhirtakke / Flower-species-recognition-by-Computer-vision-CNN
Image classification based computer vision model CNN
image-classification convolutional-neural-networks conv2d
Language:Jupyter Notebook 1
kalinosia / Traffic-road_sings
In this project, used TensorFlow to build a neural network to classify road signs based on an image of those signs.
python ai ml cv2 tf tensorflow keras conv2d
Language:Python 0
karolus-git / mnist-cnn
cnn mnist classification conv2d convolutional-neural-networks keras streamlit tensorflow
Language:Python 0
Kikumu / DCGAN-with-facedata
This repository Investigates DCGAN using facedata. Serves as a personal cautionary tale when working with GANS.
conv2d dcgan-pytorch upsample
Language:Jupyter Notebook 0
Anas436 / Digit-Recognizer-with-Tensorflow-and-Keras
computer-vision conv2d deep-learning jupyterlab kaggle-competition keras python3 tensorflow artificial-intelligence
Language:Jupyter Notebook
EPSOFT / Image-Augmentation
Image Augmentation
image-augmentation conv2d database datase dense matplotlib numpy os pyplot sequential tensorflow
Language:Jupyter Notebook
EPSOFT / Keras-Convolutianl-Networks
Keras Convolutianl Networks
keras-convolutianl-networks sequential activation batchnormalization dense maxpooling2d conv2d dropout flatten matplotlib tensorflow ipython glorot-uniform l2 to-categorical
Language:Jupyter Notebook
jianninapinto / Convolutional-Neural-Network-to-Classify-Images-of-Forest-and-Mountains
Utilized CNN models to classify images of mountains and forests, treating mountains as the positive class and forests as the negative class. We compare the performance of a pre-trained model, a custom CNN model, and a CNN model with data augmentation.
binary-crossentropy cnn-model conv2d data-augmentation deep-learning globalaveragepooling image-classifier maxpooling2d resnet-50
Language:Jupyter Notebook
Nandhakumar-rg / Multi-Class-Classification-of-MonkeyPox-using-MobileApp-with-Conv2D-VGG-19
• Developed a Keras model for classification and a Flutter Mobile App for users to detect pox. • Submitted for International Journal Elsevier.
algorithms conv2d data-science keras-tensorflow machine-learning-algorithms vgg19
Language:Python
ostad-ai / PyTorch-Tutorial
This repository provides topics in PyTorch which is used for Deep Learning
cifar10 conv2d dataloaders datasets deep-learning iris lenet mean-squared-error mnist one-hot-encoding python pytorch stochastic-gradient-descent torchvision-transforms
Language:Jupyter Notebook
s0nya21 / German-Traffic-Signs-dataset-DL-
Creating a classifier for the German Traffic Signs dataset that classifies images of traffic signs into 43 classes.
conv2d convolutional-neural-networks deep-learning high-performance image-processing python
Language:Jupyter Notebook
shhiivvaam / Traffic_Prediction
This project explores the application of advanced neural network architectures, including Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU), to forecast traffic volume. 👍👍✅
conv1d conv2d keras lstm matplotlib numpy pandas seaborn sklearn statsmodels tensorflow
Language:Jupyter Notebook

conv2d

DebeshJha / ResUNetPlusPlus

TilliFe / Infermo

vilari-mickopf / mmwave-gesture-recognition

avik-pal / DeepLearningBenchmarks

georgeyiasemis / 2D-Convolutional-Recurrent-Neural-Networks-with-PyTorch

deep-learning-algorithm / PyNet

EPSOFT / layers

sushantdhumak / Fashion-Clothing-Classification

erfanhamdi / torch_PIV

marchete / Mokka

mdnuruzzamanKALLOL / CNN_Basic

spectre900 / People-Identification-using-Face-and-Gait

aprameya2001 / People-Identification-using-Face-and-Gait

fessuoyM / numpy-nDim-Convolution

iamnderitum / Deep-Neural-Network-for-Multi-class-Classification-of-Fashion-Items

mdnuruzzamanKALLOL / CNN-Implementation_1

mdnuruzzamanKALLOL / CNN-Implementation_2

ZJW-92 / Fashion-Class-Classification

abhishekchavannn / Image-Super-Resolution-SRCNN

AdityaTheDev / ConvolutionalNeuralNetwork-To-Classify-DogVsCat

leolui2004 / atari_rl_ac

Lukas-Justen / Machine-Learning-Tutorials

meryemtetik / Image_Classification

Preetirai-tech / Brain-Tumor-Detection

sudhirtakke / Flower-species-recognition-by-Computer-vision-CNN

kalinosia / Traffic-road_sings

karolus-git / mnist-cnn

Kikumu / DCGAN-with-facedata

Anas436 / Digit-Recognizer-with-Tensorflow-and-Keras

EPSOFT / Image-Augmentation

EPSOFT / Keras-Convolutianl-Networks

jianninapinto / Convolutional-Neural-Network-to-Classify-Images-of-Forest-and-Mountains

Nandhakumar-rg / Multi-Class-Classification-of-MonkeyPox-using-MobileApp-with-Conv2D-VGG-19

ostad-ai / PyTorch-Tutorial

s0nya21 / German-Traffic-Signs-dataset-DL-

shhiivvaam / Traffic_Prediction