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Neural Networks - Interview Questions
What is the difference between Biological Neurons and Artificial Neurons?
Biological Neurons Artificial Neurons
Major components: Axions, Dendrites, Synapse Major Components: Nodes, Inputs, Outputs, Weights, Bias
Information from other neurons, in the form of electrical impulses, enters the dendrites at connection points called synapses. The information flows from the dendrites to the cell where it is processed. The output signal, a train of impulses, is then sent down the axon to the synapse of other neurons. The arrangements and connections of the neurons made up the network and have three layers. The first layer is called the input layer and is the only layer exposed to external signals. The input layer transmits signals to the neurons in the next layer, which is called a hidden layer. The hidden layer extracts relevant features or patterns from the received signals. Those features or patterns that are considered important are then directed to the output layer, which is the final layer of the network.
A synapse is able to increase or decrease the strength of the connection. This is where information is stored. The artificial signals can be changed by weights in a manner similar to the physical changes that occur in the synapses.
Approx 1011 neurons. 102– 104 neurons with current technology
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