TensorFlow and Pytorch are examples of Supervised Machine Learning (ML), in addition, both support Artificial Neural Network (ANN) models.
What is a Supervised Machine Learning?
Machine learning (ML) is a subcategory of artificial intelligence that refers to the process by which computers develop pattern recognition or the ability to continually learn or make predictions based on data, and then make adjustments without being specifically programmed to do so.
In the supervised machine learning, the computer is given a labeled dataset that allows it to learn how a human does a task. This is the least complex model as it attempts to replicate human learning.
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