Deep Learning

Deep Learning is a type of Machine Learning and Artificial Intelligence (AI) that mimics the way people gain certain forms of knowledge. It’s extremely beneficial to data scientists who are tasked with collecting, analyzing, and evaluating large amounts of data; deep learning makes this process faster and easier. Deep Learning is considered a subfield of machine learning, involving algorithms inspired by the structure and function of the brain called ‘artificial neural networks’.

Deep Learning is different from your standard AI, where it often requires zero user input whatsoever. Many machine-learning systems often need an administrator to watch over the process and ensure there aren’t code failures and the software/hardware is running correctly overall. Deep Learning can often run entirely on its own; without user input while running. Below are a pair of examples from our daily lives – see if you use DL in your daily life already! 

How is Deep Learning Involved in My Daily Life?

Do you drive a Tesla? If you do and use the auto-driving feature, you’re using Deep Learning. For driverless cars to be safe on the road they need to react to the constantly-changing environment surrounding them. For example, they should stop when a pedestrian runs into the road or react when another vehicle stops unexpectedly. The more videos and images used, the better positioned the vehicle will be to react to what’s happening in front of them. As the algorithms acquire more and more data, they can act just like a human in terms of processing information and reacting quickly. For manufacturers and investors, they hope this processing will be faster than a human which will actually make the road a safer place in the long-term.
Another common use of Deep Learning is in Virtual Assistants, also known as your Alexa, Cortana, or Siri. These virtual assistants require deep learning to understand our speech patterns. If you’ve ever wondered how Siri knows how and when to respond to our requests, now you know; it’s all thanks to deep learning.

To learn more about Deep Learning, watch this short video:

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