February 2019
Beginner to intermediate
308 pages
7h 42m
English
What about deep learning? How is it different from neural networks? To put it simply, deep learning is a machine learning algorithm that uses multiple layers in a neural network for learning (also known as deep nets). While we can think of a single-layer perceptron as the simplest neural network, deep nets are simply neural networks on the opposite end of the complexity spectrum.
In a deep neural network (DNN), each layer learns information of increasing complexity, before passing it to successive layers. For example, when a DNN is trained for the purpose of facial recognition, the first few layers learn to identify edges in faces, followed by contours such as eyes and eventually complete facial features. ...
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