caltech101
There are 15 repositories under caltech101 topic.
pskrunner14/resnet-classifier
Deep ConvNet Image Classifier based on Residual Network architecture trained on Caltech 101 Object Dataset
anikristo/DeCAF
Replication of DeCAF paper's experiments for transfer learning
nadinejackson1/fault-detection-system
This repository contains the implementation of a fault detection system that detects and eliminates faulty products based on shape and color using a Convolutional Neural Network (CNN).
attapanhyar/DeepLearning
My Deep Learning Work
MMHosseini/image_classification_using_convolutional_neural_networks
CNN-based image classification
filangelos/random-forest
Imperial College London EE4-62 Machine Learning for Computer Vision Coursework 1
istresec/kth-aml-project
Reimplementation of "VAE with a VampPrior" by Jakub M. Tomczak et al., as part of the DD2434 Machine Learning, Advanced Course at KTH
vinaysannaiah/Picture-Classification-Caltech101-dataset
Image Classification using Machine Learning, Neural Nets and CNNs.
yliang725/Image-Recognition-on-CIFAR-10-CIFAR-100-Caltech-101-Caltech-256-datasets
Image recognition on CIFAR 10, CIFAR 100, Caltech 101 and Caltech 256 datasets. With the implementation of WideResNet, InceptionV3 and DenseNet neural networks.
ceciljoseph97/Caltech101HistogramClassification
Image Classification performed in HistogramData
kaayaanil/pytorch_examples
PyTorch Tutorials for several cases
sy-nguyen/CBIR-using-CNN-and-hash
Content-Based Image Retrieval Using CNN and Hash
Daisy-butter/FineTuning_Pre-Trained_CNN
This repo explores the effect of pre-trainig and experiments fine-tuning by applying different conbinations of hyperparameters.
manthanthakker/TransferLearningUsingPytorch
Pytorch Implementations of Neural Networks
SyedaEmanSaleem/Caltech101-project
Caltech-101 image classification using EfficientNet-B4 with 98.56% training accuracy and 93% validation accuracy.