Synapses The gap between the axon and other neurons dendrites It determines the

Synapses the gap between the axon and other neurons

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Synapses: The gap between the axon and other neuron’s dendrites. It determines the weights in the sum. The Neuron
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1 0 Mathematical Model of Neuron
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Structure of Neural Networks 9
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Input neurons, Hidden neurons, Output neurons 10 Fully connected Neural Network
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Layers, Feedforward neural networks 11 Convention: The input layer is Layer 0.
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Multilayer perceptron: Connections only between Layer i and Layer i+1 The most popular architecture. Multilayer Perceptron 12
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2 1 Recurrent Neural Networks Recurrent NN : there are connections backwards too.
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The Perceptron 14
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The Training Set 15
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The Perceptron 16
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1 -1 The Perceptron 17
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18 The Perceptron Algorithm
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The Perceptron algorithm The perceptron learning algorithm 19
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3 0 The perceptron algorithm Observatio n
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The Perceptron Algorithm 21
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Perceptron Convergence 22
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1 1 Identity function Threshold function (perceptron) Ramp function Typical Activation Functions
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xOR: A Limitation of the Linear Model
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Decomposing xOR
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Perceptrons for OR and AND
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  • Fall '17
  • Mark Isbel

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