In this project, deployed a convolutional neural network (CNN) for object recognition.
Please refer: https://arxiv.org/pdf/1412.6806.pdf
Built this model using Keras, a high-level neural network application programming interface (API) that supports both Theano and Tensorflow backends. You can use either backend; however, I will be using Theano.
Steps:
Import datasets from Keras Use one-hot vectors for categorical labels Addlayers to a Keras model Load pre-trained weights Make predictions using a trained Keras model The dataset we will be using is the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.