Hands-On Transfer Learning with Python

Building an image classifier

CIFAR-10 is one of the few balanced datasets available. It has an overall size of 60,000 images. The following snippet loads the CIFAR-10 dataset, and sets the train and test variables:

# load CIFAR dataset 
(X_train, y_train), (X_test, y_test) = cifar10.load_data() 

The images in the dataset are of low resolution, and sometimes even difficult for a human to label. The code shared in this section is available in the IPython Notebook CIFAR-10_CNN_Classifier.ipynb.

We have discussed CNNs and how they are optimized for visual datasets. CNNs work upon the principles of weight sharing to reduce the number of parameters; developing them from scratch requires not just strong deep learning skills but huge infrastructure ...