Cifar10-with-CNN

Convolutional models with Data Augmentation, Early Stopping and visualization.

Datset

CIFAR-10 dataset is provided by Keras directly. 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. Classes in dataset: ["airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"] More information can be found here: https://www.cs.toronto.edu/~kriz/cifar.html

Programming language

Python

Authors

• Yichen Zhang (Professor)
• Li-Ci Chuang

Libraries

• matplotlib.pyplot
• pandas
• numpy
• time
• %matplotlib inline
• tensorflow.keras
• tensorflow.keras.layers
• tensorflow.keras.optimizers
• tensorflow.keras.models
• tensorflow.keras.regularizers
• tensorflow.keras.callbacks import LearningRateScheduler
• tensorflow.keras.preprocessing.image import ImageDataGenerator