In the name of God
Before train and evaluate the network, you should download the following dataset:
cifar-10-python.tar.gz file, then your folder structure should be like the following image:
To train the network with cifar-10 dataset, type the following command at the command prompt:
Sample images from cifar-10 dataset:
Train Accuracy = 0.100 Test Accuracy = 0.100
Train Accuracy = 0.215 Test Accuracy = 0.216
Train Accuracy = 0.364 Test Accuracy = 0.357
Train Accuracy = 0.994 Test Accuracy = 0.728
Final Train Accuracy = 1.000 Final Test Accuracy = 0.753
To evaluate the network with cifar-10 dataset, type the following command at the command prompt:
Python code for reading Hoda farsi digit dataset.
AlexNet implementation by Tensorflow.
LeNet-5 (Handwritten Character Recognition)
Peygir is an open source desktop issue tracking system.
A jQuery plugin to include another html file in a html file.