alexnet-model
There are 56 repositories 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".
karolzak/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.
paniabhisek/AlexNet
ImageNet Classification with Deep Convolutional Neural Networks
akashgreninja/Doggonation
A Canine-Centric Social Media Platform for AI-Powered NFTs and Charitable Giving, Powered by Appwrite
felzek/AlexNet-A-Practical-Implementation
Implementation of AlexNet with Tensorflow
magnusja/GTSRB-caffe-model
German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/
JYNi16/Deeplearning-Beginner
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
sk-g/Speech-Recognition-Tensorflow-Challenge
Different CNN Models for keyword spotting in speech recognition
deepanshut041/Deep-Learning-Papers
Most Cited Deep Learning Papers Implementation
Vanditg/Person-Retrieval-AVSS-2018
Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".
Lintianqianjin/reappearance-of-some-classical-CNNs
my first tutorial on educoder
Maitreyapatel/plant-diseases-website
Website for online plant diseases analysis from images with advanced search engine.
pravinkr/alexnet-cifar10-using-keras
Implementation of Alexnet in Keras for CIFAR-10 dataset
Garvit-k/alexnet
AlexNet Research
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.
aliyasineser/GraduationProjectI
Gebze Technical University Graduation Project I
Jash-2000/Complex_Convolutional_Neural_Network_Architecture
I Implemented some of the custom complex Convolutional Neural Network architecture using tensorow.keras Functional API.
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.
rhazra-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.
tmorovati/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.
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.
vivekthota16/Machine-Learning
Machine Learning with MATLAB
vnagamadhubabu/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.
Avr13/Dog-Breed-Classifier
Dog Breed Classification (Project done under Udacity)
Bilal-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
echodrift/INT3412E-mid-term-project
Team4's source code for Computer Vision course that implement some image classification models
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
KSwaviman/ImageSimilarity
Apply machine learning to find top 10 similar images from a gallery folder given a query image.
nitinsaimajji/Gender-Recognition-By-Voice
A deep learning project which demonstrates the recogniton of gender by voice , through the help of deep learning models like cnn,mlp,alexnet,vgg16
nopesir/DANNHomework3
Third homework of the course "Machine learning and artificial intelligence", focused on deep domain adaptation applied on AlexNet and cross domain validation
PRAN20/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.%
PS-Priyanka/Fruits-Image-Classification-Using-Alexnet
Using Alexnet Architecture for Multiclass Fruit Classification
saksham1210/CSE-343-Machine-Learning
Assignments of the course