The History, Evolution and Growth of Deep Learning | Analytics Insight

Over the years, deep learning has evolved causing a massive disruption into industries and business domains, summarizes Kamalika Some, Author at Analytics Insight.

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Deep learning is a branch of machine learning that deploys algorithms for data processing and imitates the thinking process and even develops abstractions. Deep learning uses layers of algorithms for data processing, understands human speech and recognizes objects visually. In deep learning, Information is passed through each layer, and the output of the previous layer acts as the input for the next layer. The first layer in a network is referred as the input layer, while the last is the output layer the middle layers are referred to as hidden layers where each layer is a simple, uniform algorithm consisting of one kind of activation function.

Another aspect of deep learning is feature extraction which uses an algorithm to automatically construct meaningful features of the data for learning, training and understanding.
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Source: Analytics Insight