Example CNN on CIFAR-10 classification
-
Updated
Nov 12, 2015 - Python
Example CNN on CIFAR-10 classification
CNN implemented using Numpy in Python
Deep Residual Learning for Image Recognition, http://arxiv.org/abs/1512.03385
CSE508-Information Retrieval course project on Multi modal search using deep learning.
A collection of Python and Matlab projects aimed at utilizing various machine learning techniques to solve big data problems.
Super Resolution Image Reconstruction using subpixel convolutional layer of CNN. 原仓库托管于coding.net https://hzw.coding.net/p/Super-Resolution----Magic-Pixel/d/Super-Resolution----Magic-Pixel/git. Reference https://github.com/Tetrachrome/subpixel.
CNN with Keras in kaggle competition "The Nature Conservancy Fisheries Monitoring"
Using machine learning algorithms to learn patterns of human muscle movements, which will be mapped to a newly developed 5-fingered robotic arm.
Python implementation of machine learning algorithms
Image Retrieval Experiment Using Triplet Loss
Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras
Retrain VGG16 to differentiate cats from dogs
Add a description, image, and links to the cnn topic page so that developers can more easily learn about it.
To associate your repository with the cnn topic, visit your repo's landing page and select "manage topics."