A repository to collaborate on the Course Project for ECE285 course "Machine Learning for Image Processing" taken at UCSD in the Fall Quarter of 2019
-
Updated
Dec 8, 2022 - Jupyter Notebook
A repository to collaborate on the Course Project for ECE285 course "Machine Learning for Image Processing" taken at UCSD in the Fall Quarter of 2019
Academic Project for Pattern Recognition and Neural Networks Course
This is my assignment of undergraduate education in China University of Petroleum (East China)
PyTorch Implementation of AlexNet
This repository contains an implementation of the AlexNet convolutional neural network (CNN) architecture using the Pytorch framework. The model is trained on a dataset consisting of images of cats and dogs, with the objective of classifying images into these two categories.
Implementation of AlexNet through a Transfer Learning Approach over CIFAR-10 Dataset using PyTorch from Scratch, presenting an accuracy of ~87%
Human Pose Estimation using Leeds Sports Poses Dataset
Weakly Object Localization on brain dMRI using CAM
PyTorch implementation of deep CNNs
Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
Breast cancer detection on BreakHis dataset
pytorch Implementation of deep learning models
Final Project of the Udacity AI Programming with Python Nanodegree
Machine learning project for Computer science (University of Catania)
PyTorch Implementation of AlexNet architecture on the CIFAR 10 dataset.
PyTorch challange at Udacity - flower classifier
Pytorch implementation of Classification of Remote Sensing images
Add a description, image, and links to the alexnet-pytorch topic page so that developers can more easily learn about it.
To associate your repository with the alexnet-pytorch topic, visit your repo's landing page and select "manage topics."