👉 In machine learning, a "dropout" is an operation that randomly sets some units of a model to zero. This operation helps avoid overfitting by allowing the model to learn from data points that are not representative of the target class. The term "dropout" was first introduced in the context of artificial neural networks and has since been widely used in a variety of applications, including image classification and natural language processing. In simple terms, dropout allows the network to "drop out" or ignore certain units
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What is the definition of Dropouts? 🙋
👉 Dropouts are individuals who do not graduate from a university, college or other educational institution. This can happen for various reasons such as failing exams, dropping out due to personal issues, or simply not wanting to attend school. These students may have dropped out because they did not feel like their education was worth the effort or because they were unable to balance work and study. It is important to note that dropouts are not necessarily negative individuals but rather those who choose not to pursue higher education or continue with
