/CIFAR10-Prediction-In-Keras

This software visualizes CIFAR-10 image files label prediction results by a ResNet model or a CNN model.

Primary LanguageJupyter NotebookMIT LicenseMIT

CIFAR-10 Prediction In Keras

https://gyazo.com/308fbe9513a88fc7e943b50f8ecf0598

'keras_cifar10_prediction.ipynb' predict a webcam photo by a neaural network that is trained by CIFAR-10 datas.

https://gyazo.com/b209037ac23ee815069ca28214db0669

'keras_cifar10_prediction.ipynb' visualizes CIFAR-10 image files label prediction results by a ResNet model or a CNN model. A fail prediction is displayed red text. left side text is a fail prediction, right side is a correct label.

How to use

  1. clone this repository using git:
git clone https://github.com/uchidama/CIFAR10-Prediction-In-Keras.git
  1. cd to the folder and run jupyter notebook:
cd CIFAR10-Prediction-In-Keras
jupyter notebook
  1. click 'keras_cifar10_prediction.ipynb' and run.

Installation

This software using Keras.

If you want to run without to think keras and backend deeplearning frameworks, enter this command.

pip install tensorflow==1.4.1
pip install keras==2.1.2

Then, enter this command to install other using python packages.

pip install -r requirements.txt

Model Files

License

MIT