Source: thenewstack.io
The Move to Unsupervised Learning: Where We Are Today
Deep learning is a https://thenewstack.io/researchers-drop-the-zeroes-to-speed-deep-learning/ which particularly focuses on the class of algorithms that are inspired by the structure and function of the human brain. These algorithms use Artificial Neural Networks (ANNs) to learn from large amounts of data and represent the world as a layered hierarchy of concepts.
Multiple layers of processing elements, better ability to utilize large compute power and better training procedures are collectively empowering deep learning algorithms in this regard.
Deep learning algorithms often offer higher operational accuracy due to the ability to create complex models, address high-dimension space and better capture feature interactions.
Deep neural networks are an example of black-box algorithms, as are boosting algorithms, which combine many simpler learning algorithms to iteratively improve accuracy.
Multiple layers of processing elements, better ability to utilize large compute power and better training procedures are collectively empowering deep learning algorithms in this regard.
Deep learning algorithms often offer higher operational accuracy due to the ability to create complex models, address high-dimension space and better capture feature interactions.
Deep neural networks are an example of black-box algorithms, as are boosting algorithms, which combine many simpler learning algorithms to iteratively improve accuracy.
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