** Activation Functions Simplified

In the field of deep learning, activation functions play a crucial role in enabling neural networks to learn complex patterns. There are various types of activation functions, each with its strengths and limitations. This article provides an overview of different activation functions, including Identity Activation Function, Sigmoid Function, ReLU (Rectified Linear Unit), Softmax Function, and Maxout.

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Source: https://dev.to/aws-builders/activation-functions-simplified-4ij1