June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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How does an ANN learn?
Based on the concept of biological neurons, the term and idea of ANNs arose. Similar to biological neurons, the artificial neuron consists of the following:
- One or more incoming connections that aggregate signals from neurons
- One or more output connections for carrying the signal to the other neurons
- An activation function, which determines the numerical value of the output signal
Besides the state of a neuron, synaptic weight is considered, which influences the connection within the network. Each weight has a numerical value indicated by Wij, which is the synaptic weight connecting neuron i to neuron j. Now, for each neuron i, an input vector can be defined by xi = (x1,x2,...xn), and a weight vector can be defined ...
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