Activation Functions in Neural Networks (Sigmoid, ReLU, tanh, softmax)

Опубликовано: 30 Октябрь 2024
на канале: The Semicolon
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#ActivationFunctions #ReLU #Sigmoid #Softmax #MachineLearning

Activation Functions in Neural Networks are used to contain the output between fixed values and also add a non linearity to the output.

Activation Functions play an important role in Machine Learning.

In this video we discuss,
Identity Activation,
Binary Step Activation,
Logistic Or Sigmoid Activation,
Tanh Activation,
ArcTan Activation,
Rectified Linear Unit (ReLU) Activation,
Leaky ReLU Activation,
Softmax Activation.

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