Deep Learning - Crash Course 2023 - Summary on Activation Functions

The video tutorial provides an overview of activation functions used in neural networks, including sigmoid, Relu, Selu, swish, and softmax. It explains the role of these functions in scaling data and generating outputs in the required range. The softmax function is highlighted for its use in multiclass classification tasks. The tutorial concludes with advice on selecting the right activation function for different tasks.

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