Udacity's Deep Learning Foundation Nanodegree - Project 2: Image Classification
-
Updated
Apr 29, 2017 - HTML
Udacity's Deep Learning Foundation Nanodegree - Project 2: Image Classification
Udacity's Machine Learning Nanodegree - Project 5: Image Classification
Python tool for turning an 🖼️ Image Dataset into the CIFAR-10 format
Predict CIFAR-10 labels with 88% accuracy using keras.
Code for asymmetric backpropagation( Change lines in the model building part to do different experiments)
使用SVD、K-Means、降低权值精度的方法压缩Cifar-10神经网络的全连接层
Cifar-10 classification using CNN Keras Tutorial
CIFAR-10 IMAGE CLASSIFICATION WITH KERAS CONVOLUTIONAL NEURAL NETWORK TUTORIAL
Nearest Neighbor classification for CIFAR-10
Read and process CIFAR10 dataset, implement neural network, train th, and also tune up hyper parameters.
Implementation of multinomial logistic regression, tested on iris, digits, and cifar datasets
Comparison of Generative Models in Tensorflow
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Top 10 Kaggle Competition Score - 0.9388 using MXNet
udacity dlnd image classification for CIFAR-10
Add a description, image, and links to the cifar-10 topic page so that developers can more easily learn about it.
To associate your repository with the cifar-10 topic, visit your repo's landing page and select "manage topics."