Analyzing the performance of different types of convolutional filters for image segmentation purposes.
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Updated
Jun 27, 2019 - Python
Analyzing the performance of different types of convolutional filters for image segmentation purposes.
Using CNNs to identify the breed of dog in an image
Classify Photoshop elements using pyTorch
Final Year Project On Deep Learning
This is a simple CNN for image classification using pytorch
This repository provides a detailed comparison between traditional Cross Entropy loss function vs Ordinal for Age vs Consistent Ranked Logits(CORAL) approach for Age.
Classification of images based on facial features using ResNet18 as base framework integrated with Non-local neural networks
Zero-to-Gans Competition 2020
HAM10000 image dataset classification using Pytorch and Scikit Learn
2D-CNN for Brain Tumor Classification
Pytorch Implementation of Various Machine Learning and Perceptron Algorithms
Using PyTorch to predict CIFAR10 images' labels with 88% accuracy.
A CNN model which can detect if a picture of metal object has corrosion or not.
Classifying images of trash (glass, metal, paper, plastic) using neural networks. Term project of 'APS360 - Applied Fundamentals of Deep Learning' taken at the University of Toronto. Team members: Matthew Vernooy, Danny Kung, Tiffany Costas.
My personal AI projects. All of them are .ipnyb files which are pytorch-dependant.
A Binary Image Classifier in PyTorch that classifies images into Ship or Truck
Trained deep neural networks to predict and classify input image (MNISTDD) datasets with python.
Highway lane segmentation Dataset
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