Cifar10 with Keras

The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images.

Cifar-10

https://www.cs.toronto.edu/~kriz/cifar.html

Getting Started

Clone repository

git clone https://github.com/SamWiz13/Cifar10.git

Install the python packages in requirements.txt if you don't have them already.

pip install -r ./requirements.txt

Run the iPython tutorial notebook with Jupyter.

jupyter lab ./Cifar10.ipynb

Run the Streamlit

http://localhost:8501/