This repository is containing my Jupyter files.
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Updated
Jun 9, 2018 - Jupyter Notebook
This repository is containing my Jupyter files.
Binary or multi-class image classification using VGG16
Kaggle competition - "iWildCam 2019"
This will help you to classify images into Multiple Classes using Keras and CNN
body-condition-score_cattle prediction.
Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation
flower_classifier
Simpson character classification
This is an end to end deep learning multiclass image classifier project built using TensorFlow.
A multiclass image classification project, used transfer learning to use pre-trained models such as InceptionNet to classify images of butterflies into one of 50 different species.
Multi-class classification of German traffic signs with deep convolutional neural networks. Architecture inspired by LeNet.
Multi-class classification by Deep Learning approach on image data.
Multiclass image classification using Convolutional Neural Network
A simple CNN for image classification of cats, dogs and persons.
This repo contains the assignments workload for the computer vision course in the MSc degree
This project is Multi-class Image classification using Convolutional Neural Network developed using Python programming language.
Fashion training set consist of 70,000 images divided into 60,000 training and 10,000 testing samples. Dataset samples consists of 28x28 grayscale image associated with a label from 10 calsses.
This is a numpy implementation for the shallow neural network algorithm (both training and testing) fully vectorized
The repository contains three deep learning models created for Kaggle and PASCAL datasets.
Photographs of Birds for Multi-target Images Classification
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