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Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Neuron
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A-Z
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A-Z Image Source: www.austincc.edu
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© SuperDataScienceDeep Learning
A-Z Image Source: Wikipedia
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A-Z Image Source: Wikipedia Neuron Axon Dendrites
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A-Z Image Source: Wikipedia
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A-Z neuron Node
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A-Z Input signal 1 Input signal 2 Input signal m neuron
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© SuperDataScienceDeep Learning
A-Z Input signal 1 Input signal 2 Input signal m Output signalneuron
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A-Z neuron Input value 1 Input value 2 Input value m X1 X2 Xm Output signal Synapse
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A-Z neuron Input value 1 Input value 2 Input value m X1 X2 Xm y Output value Synapse
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A-Z neuron X1 X2 Xm Output value Independent variable 1 Independent variable 2 Independent variable m Input value 1 Input value 2 Input value m y Standardize
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A-Z Efficient BackProp By Yann LeCun et al. (1998) Link: http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf Additional Reading:
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A-Z neuron Input value 1 Input value 2 Input value m Output value X1 X2 Xm y Output value Can be: • Continuous (price) • Binary (will exit yes/no) • Categorical Independent variable 1 Independent variable 2 Independent variable m
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A-Z neuron Input value 1 Input value 2 Input value m Output value 1 Output value 2 Output value p X1 X2 Xm yy2 y1 y3 Independent variable 1 Independent variable 2 Independent variable m
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A-Z neuron Single Observation Same observation X1 X2 Xm y Input value 1 Input value 2 Input value m Output value Independent variable 1 Independent variable 2 Independent variable m Single Observation
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A-Z neuron Input value 1 Input value 2 Input value m Output value X1 X2 Xm y w1 w2 wm
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A-Z ?neuron Input value 1 Input value 2 Input value m y X1 X2 Xm w1 w2 wm Output value
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A-Z Input value 1 Input value 2 Input value m y 1st step: X1 X2 Xm w1 w2 wm Output value
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A-Z Input value 1 Input value 2 Input value m y 2nd step: X1 X2 Xm w1 w2 wm Output value
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