Here can be found the Jupyter Notebook of a CNN implementation to classify CIFAR data. This project was made to learn the basics of TensorFlow and Kerras.
This basic implementation consists of using a 6-layer convolutional network (Conv2D and MaxPooling2D). This is not an optimal model and yet yields a performance of 70% accuracy.