TensorFlow and PyTorch in Python are popular, as is the Keras package in R. The complexity of deep learning methods makes using existing packages popular in the programming community. For instance, in a facial-recognition system, pixels might be one layer of the system, while edges might be another, eyes might be another, and the face might be another. In deep learning, each level learns to transform the input data into a slightly more abstract and composite representation. These are inspired by information processing and distributed communication nodes in biological systems such as the brain. Deep learning is a subset of machine learning methods that are based on artificial neural networks.
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