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Deep Learning with TensorFlow by Ahmed Menshawy, Md. Rezaul Karim, Giancarlo Zaccone

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Implementing a single input neuron

In this example, we will take a closer look at TensorFlow's and TensorBoard's main concepts and try to do some basic operations to get you started. The model we want to implement simulates a single neuron. For reference, see the following diagram:

A schema representing the single input neuron

The output will be the input product for the weight.

The preceding schema consists of the following:

  • An input value, which stimulates the neuron.
  • A single weight, which is multiplied by the input, provides the output of the neuron. The weight value will vary in the course of the training procedure.
  • The output is given ...

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