April 2017
Intermediate to advanced
320 pages
7h 46m
English
Content preview from Deep Learning with TensorFlow
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Transfer functions
Each neuron receives as input signal the weighted sum of the synaptic weights and the activation values of the neurons connected to it. To allow the neuron to calculate its activation value, that is, what the neuron retransmits, the weighted sum must be passed as the argument of the transfer function. The transfer function allows the receiving neuron to transmit the received signal modifying it.
One of the most used functions for this purpose is the so-called sigmoid function:
The domain of this function includes all real numbers and the co-domain is (0, 1). This means that any value will obtain, as output from a neuron ...
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