The Convolutional Neural Network (CNN) is a class of deep learning neural networks. CNNs represents a huge breakthrough in image recognition. They’re most commonly used to analyze visual imagery and are frequently working behind the scenes in image classification. They can be found at the core of everything from Facebook’s photo tagging to self-driving cars. They’re working hard behind the scenes in everything from healthcare to security.
In this exercise, your task is to create a Convolutional Neural Network(CNN) based image classifer for the CIFAR-10 dataset of images [3]. Feel free to experiment with different architectures, hyper-parameters, and training procedures to make yourself familiar with training and tuning CNN models. Please refer to the papers  listed below for inspiration.
References
[1] Sandler, M.; Howard, A.; Zhu, M.; Zhmoginov, A.; Chen, L.C. Mobilenetv2: Inverted residuals and linear bottlenecks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, USA, 18–22 June 2018; pp. 4510–4520.
[2] Handwritten digit recognition with a back-propagation network, Y. LeCun, In Proc. Advances in Neural Information Processing Systems, (1990).
[3] ImageNet Classification with Deep Convolutional Neural Networks, Krizhevsky, A., Sutskever, I. and Hinton, G. E., NIPS: Neural Information Processing Systems, (2012).
[4] CIFAR10 Dataset: Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009. Images collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton of the Canadian Institute For Advanced Research, available at: https://www.cs.toronto.edu/~kriz/cifar.html.
[5] Receptive fields of single neurons in the cat's striate cortex, Hubel, D.H.; Wiesel, T.N., J Physiol. 148 (3), (1959).
[6] Deep learning, LeCun, Y., Bengio, Y., and Hinton, G., Nature, 521, May, (2015).
[7] Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position, K. Fukushima, Biological Cybernetics, 36, 4, April (1980).