2D-CNN for Brain Tumor Classification
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Updated
May 30, 2020 - Python
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
Project of the Udacity Nanodegree
Beginner code to classify FashionMNIST dataset using PyTorch
AnalyticsVidhya- Game of Deep Learning Hackathon: Computer Vision Ship Detection
Whole-body magnetic resonance image classification using deep learning models in PyTorch
"한계를 넘어 상상에 도전하자!" 네이버 AI 해커톤 2018 (Movie-review)
Implementation of a simple CNN on Pytorch from scratch
A demo of how to use neural style transfer technique to recompose style from art to art!
Brain Tumor Classifier Model PyTorch
Ransomware Predication Using Deep Learning(CNN)
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