Topic: conv2d Goto Github
Some thing interesting about conv2d
Some thing interesting about conv2d
conv2d,Deployed the super-resolution convolution neural network (SRCNN) using Keras. Recovers a high-resolution image from a low-resolution input.
User: abhishekchavannn
conv2d,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.
User: adityathedev
conv2d,Handwriting digit recognition using keras.Conv2D and MNIST database.
User: ancaelena10
conv2d,A project to perform people identification at a distance using face and gait data with deep learning
User: aprameya2001
conv2d,Benchmarks across Deep Learning Frameworks in Julia and Python
User: avik-pal
conv2d,Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
User: debeshjha
Home Page: https://ieeexplore.ieee.org/abstract/document/8959021
conv2d,Numpy implementation of deep learning
Organization: deep-learning-algorithm
conv2d,Image Augmentation
User: epsoft
Home Page: https://www.epsoft.ir
conv2d,Keras Convolutianl Networks
User: epsoft
Home Page: https://www.epsoft.ir
conv2d,layers
User: epsoft
Home Page: https://www.epsoft.ir
conv2d,This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
User: erfanhamdi
Home Page: http://mech.sharif.ir/~erfan.hamdi/
conv2d,A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.
User: fessuoym
conv2d,2D Convolutional Recurrent Neural Networks implemented in PyTorch
User: georgeyiasemis
conv2d,A Simple Trained LeNET Model for handwritten digit recognition
User: hazooree
conv2d,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.
User: iamnderitum
conv2d,:cat: A deep learning model using CNN to classify between cat and dog images
User: ishitadatta
conv2d,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.
User: jianninapinto
conv2d,This repository Investigates DCGAN using facedata. Serves as a personal cautionary tale when working with GANS.
User: kikumu
conv2d,Reinforcement Learning with Actor-Critic to play Breakout-v4 (Atari) from OpenAI Gym
User: leolui2004
conv2d,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.
User: lukas-justen
conv2d,Mokka is a minimal Inference Engine for Dense and Convolutional 2D Layer Neural Networks. Written on a single C++ header, it uses AVX2
User: marchete
conv2d,Image classifier application to classify flowers to 102 categories, using TnensorFlow hub and Conv2D
User: mbshbn
conv2d,Basic_CNN_Implementation
User: mdnuruzzamankallol
conv2d,Basic_CNN_Implementation
User: mdnuruzzamankallol
conv2d,CIFAR10 Dataset.
User: meryemtetik
conv2d,β’ Developed a Keras model for classification and a Flutter Mobile App for users to detect pox. β’ Submitted for International Journal Elsevier.
User: nandhakumar-rg
conv2d,This model helps us classify 10 different real-life objects by undergoing training under tensorflow's CIFAR dataset which contains 60,000 32x32 color images with 6000 images of each class. I have made use of a stack of Conv2D and MaxPooling2D layers followed by a few densely connected layers.
User: omkarkatkade
conv2d,This repository provides topics in PyTorch which is used for Deep Learning
User: ostad-ai
conv2d,This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans.
User: preetirai-tech
conv2d,Creating a classifier for the German Traffic Signs dataset that classifies images of traffic signs into 43 classes.
User: s0nya21
conv2d,Image Classification with 2D Convolutions, Deeplearning
User: saitejdandge
conv2d,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. ππβ
User: shhiivvaam
Home Page: https://github.com/shhiivvaam/SME_Traffic_Prediction
conv2d,Image classification based computer vision model CNN
User: sudhirtakke
conv2d,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
User: sushantdhumak
conv2d,This project is to apply Convolutional Neural Networks (CNN) to recognize dog breeds.
User: thomas-choi
conv2d,Tensors and dynamic Neural Networks in Mojo
User: tillife
conv2d,MNIST is the de facto βhello worldβ dataset of computer vision. In this competition, our goal is to correctly identify digits from a dataset of handwritten images.
User: vi-hna-ja
conv2d,Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
User: vilari-mickopf
conv2d,In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset.
User: zjw-92
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