Alexnet is a Deep Convolutional Neural Network (CNN) for image classification that won the ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%, compared to 26.2% achieved by the second-best entry.
Though there are many more network topologies that have emerged since with lot more layers, Alexnet in my opinion was the first to make a breakthrough.
Read this article to understand and use AlexNet better
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This is a companion discussion topic for the original entry at http://iq.opengenus.org/architecture-and-use-of-alexnet/