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In the realm of artificial intelligence, the rapid evolution of strong understanding has revolutionized the way we strategy complex problems. At the forefront of this transformation stands Keras, an open-source neural network selection that has become the cornerstone for making, teaching, and deploying serious learning models. This article embarks on a trip through the primary facets of Keras, unveiling their crucial components and practices which are essential proper seeking to become efficient in the world of heavy learning.

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