Introduction to Deep Learning

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· How Deep Learning Works

Since, most of the deep learning processes apply neural network architectures, which is why we refer to deep learning models to deep neural networks. The term deep generally refers to the number of veiled levels in the neural network. There are 2–3 hidden layers in the traditional neural networks, whereas the deep networks may have as many as 150.

· Difference Between Machine Learning and Deep Learning

Deep learning is a subset of machine learning. It uses neural networks and is suitable for dealing with a large amounts of unstructured data. And since it uses neural networks therefore the feature engineering is carried out automatically.

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