Definition: Dirgeman is a term in the field of computer science that refers to a type of machine learning algorithm that was proposed by Andrew Ng. Dirgeman algorithms are designed to optimize the performance of neural networks and have been shown to be effective for various tasks such as image classification, speech recognition, and natural language processing. The main idea behind Dirgeman algorithms is that they can learn from experience without being explicitly programmed, which makes them particularly useful in scenarios where direct programming is difficult or impractical
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