ImageNet Classification with Deep Convolutional Neural Networks
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Updated
Apr 16, 2020 - Python
ImageNet Classification with Deep Convolutional Neural Networks
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…
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Implementation of AlexNet with Tensorflow
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/
Different CNN Models for keyword spotting in speech recognition
Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".
my first tutorial on educoder
AlexNet Research
Assignments of the course
Team4's source code for Computer Vision course that implement some image classification models
This Archieve will have models architectures
Training and evaluating an AlexNet-like model to classify general objects using the CIFAR-10 dataset.
CNN class with alexnet, VGG-net and Resnet-34 architectures
This repository contains a PyTorch implementation of the classic AlexNet convolutional neural network, adapted and trained on the CIFAR-10 dataset. The implementation serves as a practical example to learn how to build, train, and evaluate AlexNet from scratch using PyTorch.
Dog Breed Classification (Project done under Udacity)
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