A Canine-Centric Social Media Platform for AI-Powered NFTs and Charitable Giving, Powered by Appwrite
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Aug 3, 2023 - Python
A Canine-Centric Social Media Platform for AI-Powered NFTs and Charitable Giving, Powered by Appwrite
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…
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".
ImageNet Classification with Deep Convolutional Neural Networks
German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http:https://benchmark.ini.rub.de/
Implementation of AlexNet with Tensorflow
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
Website for online plant diseases analysis from images with advanced search engine.
Implementation of Alexnet in Keras for CIFAR-10 dataset
Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".
Most Cited Deep Learning Papers Implementation
Using Alexnet Architecture for Multiclass Fruit Classification
A deep learning project which demonstrates the recogniton of gender by voice , through the help of deep learning models like cnn,mlp,alexnet,vgg16
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…
Gebze Technical University Graduation Project I
Machine Learning with MATLAB
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 mac…
Different CNN Models for keyword spotting in speech recognition
This Annotation Framework involves in identifying and recognising the objects within the given image using predefined neural network learning algorithms and tools.
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