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How to Choose an Activation Function for Deep Learning
In this video, we cover the different activation functions used in neural networks to provide an output of a given node, or neuron, given its set of inputs: linear, step, sigmoid / logistic, tanh / hyperbolic tangent, ReLU, Leaky ReLU, PReLu, Maxout, and more.

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Deep Learning Tutorial | How to Choose an Activation Function for Deep Learning

Learn How to Choose an Activation Function for Deep Learning - In this video, we cover the different activation functions used in neural networks to provide an output of a given node, or neuron, given its set of inputs: linear, step, sigmoid / logistic, tanh / hyperbolic tangent, ReLU, Leaky ReLU, PReLu, Maxout, and more.

6.40 GEEK