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Deep Learning vs Machine Learning — What’s the Difference?

  What is deep learning? Machine learning refers to computers ability to complete tasks without being explicitly programmed... while still thinking and acting like machines. Their capacity to execute some difficult tasks — such as gathering data from an image or video is still far behind that of humans. Because they've been carefully patterned after the human brain, deep learning models provide an extraordinarily complex approach to machine learning and are geared to tackle these issues. Data is transmitted between nodes (like neurons) in highly coupled ways using complex, multi-layered " deep neural networks ." As a result, the data undergoes a non-linear transformation that becomes increasingly complex. While it takes a lot of data to ‘feed and create' such a system, it can start producing results almost immediately, and there isn't much need for human interaction once the programmes are in place. Convolutional Neural Networks Recurrent Neural Networks Wh

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