This notebook was curated as a part of Severstal Steel Detection Challenge by Kaggle . It gives an starter code for coding multiclass classifier using Pytorch
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Updated
Oct 31, 2019 - Jupyter Notebook
This notebook was curated as a part of Severstal Steel Detection Challenge by Kaggle . It gives an starter code for coding multiclass classifier using Pytorch
ResNet Comparison for Garbage Image Classification with PyTorch - models trained on GPU, then pickled for analysis on CPU
Handwritten Bangla Numeric Digits Classification using ResNet-34. The work uses a subset of the BanglaLekha-Isolated dataset. For details, read the README file.
A CLI tool that utilizes a ResNet convolutional neural network to recognize content in images and sort them into classes.
A deep learning approach to classify alphabets of the American Sign Language
Convolutional Neural Network written with PyTorch to diagnostic COVID19 based on recorded coughs.
This repo is to demonstrate how to perform an image classificatiuon task in FastAI V2
Applying Deep Learning Techniques to determine fish feeding Status
A light-hearted production ready image classifier trained using a convolutional neural network with resnet-34 architecture on 150 images returned by Bing Image Search API queries of bears.
Traffic-sign images classification using ResNet-34 CNN
A streamlined image classifier using to accurately identify distinct sports ball.
This repo contains my attempt of applying various CV techniques and algorithms
This was a simple deep learning image classification project. The dataset was taken from Kaggle and trained using the ResNet 9 model (Build from Scratch) and ResNet 34 model (using Transfer Learning).
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