Let's understand what deep learning is. Deep learning is a part of machine learning that deals with emulating the learning approach of human beings. Traditional machine learning algorithms are linear in nature, whereas deep learning algorithms are nonlinear and stacked in a hierarchy of increasing complexity and abstraction, for example, when the parents of a toddler teach him what a cat looks like by pointing at it, and when he points to an object the next time and tags it as a cat, then the parents confirm by saying "Yes, it is a cat" or if the toddler identifies it wrongly, then the parents say "No, it is not a cat." In this way, a toddler learns to identify a cat and makes himself aware of all the features of a cat over a period of time. In this process, what a toddler does is unconsciously build a stack of information in their mind about...
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