👉 ReLU, or Rectified Linear Unit, is a non-linear activation function that was introduced by Andrew Ng in his 2016 course on machine learning. It is often used to introduce students to the basics of artificial neural networks and can be seen as a powerful tool for training deep learning models. The name "ReLU" comes from the fact that it is also known as Rectified Linear Unit, which means it returns the smallest positive value or 0 if input data falls outside of its range
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What is the definition of Reluce? 🙋
👉 In the context of science and technology, "reluce" refers to a type of light source that illuminates a room. It is often used in conjunction with other terms such as "luminous body," "light bulb," or "lampshade." In scientific contexts, it can also refer to an object emitting light that is not visible to the naked eye but is considered useful for various purposes.
