If you’ve been paying attention to the news, you’ve undoubtedly come across the term “deep learning” in relation to artificial intelligence. Deep learning is a relatively new technology and those who are unfamiliar with it are likely to be misinformed.
The precise meaning of the term is that it is the successor of machine learning. This is completely false.
Deep learning is a machine learning approach. Machine learning is a method for achieving artificial intelligence. To put it another way, deep learning isn’t a replacement for machine learning; it’s a component of it.
Deep learning techniques rely on several layers and employ parallel programming to reach a high level of accuracy, you will need a lot of neural networks and millions of examples of training data, not hundreds or thousands target(image recognition, language translation, etc).language translation, etc).
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