Dogs vs. Cats: Creating an algorithm to distinguish dogs from cats



Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, animals, writing and actions in images. Computers can use machine vision technologies in combination with a camera and artificial intelligence software to achieve image recognition.

While human and animal brains recognize objects with ease, computers have difficulty with the task. Software for image recognition requires  "deep learning".

In this Application, we will be using MXNet algorithm to distinguish dogs from cats. MXNet is a deep learning framework designed for both efficiency and flexibility.

View the app here

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