alexnet-model
There are 1 repository under alexnet-model topic.
iremakalp / Plant_Disease_Detection
This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".
Language:Jupyter Notebook 39karolzak / cntk-hotel-pictures-classificator
This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.
Language:Python 39paniabhisek / AlexNet
ImageNet Classification with Deep Convolutional Neural Networks
Language:Python 31akashgreninja / Doggonation
A Canine-Centric Social Media Platform for AI-Powered NFTs and Charitable Giving, Powered by Appwrite
Language:Python 30felzek / AlexNet-A-Practical-Implementation
Implementation of AlexNet with Tensorflow
Language:Python 27magnusja / GTSRB-caffe-model
German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/
Language:Python 16JYNi16 / Deeplearning-Beginner
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
Language:Python 13sk-g / Speech-Recognition-Tensorflow-Challenge
Different CNN Models for keyword spotting in speech recognition
Language:Python 10deepanshut041 / Deep-Learning-Papers
Most Cited Deep Learning Papers Implementation
Language:Jupyter Notebook 9Vanditg / Person-Retrieval-AVSS-2018
Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".
Language:Python 8Lintianqianjin / reappearance-of-some-classical-CNNs
my first tutorial on educoder
Language:Python 7- Language:Jupyter Notebook 7
Maitreyapatel / plant-diseases-website
Website for online plant diseases analysis from images with advanced search engine.
Language:JavaScript 6pravinkr / alexnet-cifar10-using-keras
Implementation of Alexnet in Keras for CIFAR-10 dataset
Language:Jupyter Notebook 6- Language:Python 4
avinash28196 / Image-Annotation-FrameWork
This Annotation Framework involves in identifying and recognising the objects within the given image using predefined neural network learning algorithms and tools.
Language:MATLAB 3aliyasineser / GraduationProjectI
Gebze Technical University Graduation Project I
Language:MATLAB 2- Complex_Convolutional_Neural_Network_Architecture
Jash-2000 / Complex_Convolutional_Neural_Network_Architecture
I Implemented some of the custom complex Convolutional Neural Network architecture using tensorow.keras Functional API.
Language:Jupyter Notebook 2 praitaliya / image_classification_using_deep_learning
Thousands of images are generated every day, which implies the necessity to classify and access them by an easy and faster way. The main objective of classification is to identify the features occurring in the image. Neural networks (NNs), inspired by biological neural system, are a family of supervised machine learning algorithms that allow machine to learn from training instances as mathematical models. NNs have been widely applied in the fields of classification, optimization, and control theory. This work compares the classification of images using Convolutional Deep Neural Network approaches.
Language:MATLAB 2rhazra-003 / Dead_Or_Alive
A MATLAB based model which uses transfer learning to train a deep network that can detect if a roundworm is dead or alive by processing microscoping image.
tushartotla12 / fire-detection
A artificial intelligence project which detects the fire and smoke before the accident causing huge loses. The work depicts the techniques like object detection, which are in todays world taking great heights. A proposal to a new method based on a deep learning approach, which uses a convolutional neural network that employs dilated convolutions has been approched. The surveillance cameras keep capturing the images, video clips of the region, which then are acted as input to the proposed system and design. It then checks the if the image has been observed with some fire or not and if found rings the alarm and thus the fire management is known in advance and the fire is prevented to avoid any kind of small damage even. In this article, two custom CNN models have been implemented for a cost-effective fire detection CNN architecture for surveillance videos. The first model is a customized basic CNN architecture inspired by AlexNet architecture. We will implement and see its output and limitations and create a customized InceptionV3 model. To balance the efficiency and accuracy, the model is fine-tuned considering the nature of the target problem and fire data. In addition, the method would be designed to be well generalized for unseen data, which offers effective generalization and reduces the number of false alarms.
Language:Jupyter Notebook 2vivekthota16 / Machine-Learning
Machine Learning with MATLAB
Language:MATLAB 2vnagamadhubabu / CLASSIFICATION-OF-PNEUMONIA-USING-PRETRAINED-ALEXNET-MODEL-FROM-CHEST-X-RAY-IMAGES-DURING-COVID-19
This work presents the use of a deep neural network based on the TL approach (known as a pretrained AlexNet model) for automatic detection of COVID-19 pneumonia, non- COVID-19 viral pneumonia, and bacterial pneumonia.
Language:Jupyter Notebook 2Avr13 / Dog-Breed-Classifier
Dog Breed Classification (Project done under Udacity)
Language:Python 1Bilal-Belli / DiabeticRetinopathy_ClassificationModel_CNN
This repository contains a classification model made by Matlab for Diabetic Retinopathy Detection.
Collinskanyiri / Swahili_Classification_Project
Audio Classification using Spectrographs and application of computer Vision Models
Language:Jupyter Notebook 1- Language:Python 1
KrishArul26 / Image_classification-CNN-
So, Image classification techniques are the basic of object detection So, In this Repository only contain the Image Classification problems and Transfer learning Network frame Work
Language:Jupyter Notebook 1longrootchen / ILSVRC-2012-classification-pytorch
ILSVRC 2012 classification playground
Language:Python 1- Language:Jupyter Notebook 1
nopesir / DANNHomework3
Third homework of the course "Machine learning and artificial intelligence", focused on deep domain adaptation applied on AlexNet and cross domain validation
Language:Jupyter Notebook 1PRAN20 / Plant-Disease-Detection
A Model which can be used to detect Disease of different Variety of Plants. AlexNet Model is used for the same process. It has the test accuracy of 94.8.%
Language:Jupyter Notebook 1PS-Priyanka / Fruits-Image-Classification-Using-Alexnet
Using Alexnet Architecture for Multiclass Fruit Classification
Language:Jupyter Notebook 1abdulla20-8 / AlexNet_HandWritten_Recognition_Central_Kurdish
AlexNet Model Testing In A Vast Dataset for Kurdish Digits and Isolated Characters Recognition
Language:Jupyter Notebook 0SurrajKumar2000 / RICusingDL
This model develops an accurate system for classifying retinal images to assist in early detection and management of eye conditions.
Language:Jupyter Notebook 0tmorovati / CNN-based-Facial-Affect-Analysis-on-Mobile-Devices
In this repo, I implemented VGGNet, MobileNet and AlexNet and compared their performance on Emotion Detection Task using AffectNet dataset.
Language:Jupyter Notebook
