10 questions about deep learning | Machine Learning - InfoWorld

Learn why neural networks are so powerful, how and where they’re used, and how to get started — no programming necessary, as InfoWorld reports.

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It seems everywhere you look nowadays, you will find an article that describes a winning strategy using deep learning in a data science problem, or more specifically in the field of artificial intelligence (AI). However, clear explanations of deep learning, why it’s so powerful, and the various forms deep learning takes in practice, are not so easy to come by.

In order to know more about deep learning, neural networks, the major innovations, the most widely used paradigms, where deep learning works and doesn’t, and even a little of the history, we have asked and answered a few basic questions.

What is deep learning exactly?
Deep learning is the modern evolution of traditional neural networks...

What makes deep learning so powerful?
In a word, flexibility. On the one hand, neural networks are universal function approximators, which is smart talk for saying that you can approximate almost anything using a neural network—if you make it complex enough.
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Source: InfoWorld