Neural Networks Overview CS89.11/189.2 - Spring 2020 Our Neurons - PowerPoint PPT Presentation

Aug 15, 2022 •145 likes •356 views

Neural Networks Overview CS89.11/189.2 - Spring 2020 Our Neurons Our Neurons Dendrites Our Neurons Dendrites Axon Our Neurons Dendrites Axon terminals Axon Our Neurons Dendrites I 0 I 1 Axon terminals I 2 I 3 Axon I 4 I 5 I m Our

Neural Networks Overview CS89.11/189.2 - Spring 2020
Our Neurons
Our Neurons Dendrites
Our Neurons Dendrites Axon
Our Neurons Dendrites Axon terminals Axon
Our Neurons Dendrites I 0 I 1 Axon terminals I 2 I 3 Axon I 4 I 5 … I m
Our Neurons Dendrites I 0 I 1 Axon terminals I 2 I 3 Axon Nucleus decides what to do based on   I 4 the I m and its activation function I 5 … I m
Our Neurons Dendrites I 0 I 1 Axon terminals I 2 I 3 Axon I 4 I 5 … I m
Our Neurons Dendrites I 0 I 1 Axon terminals O 0 O 1 I 2 I 3 O 2 Axon O 3 … O n I 4 I 5 … I m
Artificial Neuron I 0 I 1 Neuron Output Activation I 2
Artificial Neuron I 0 W 0 W 1 Activation I 1 Neuron Output Function W 2 I 2 ∑ ϕ ( ∑ ( I i × W i ) ( I i × W i )) i i
Artificial Neural Network
Artificial Neural Network Layers Input Hidden Output Layer Layer Layer
Simplified Neural Network Input Hidden Output Layer Layer Layer Σ | ϕ Σ | ϕ Σ | ϕ
Each layer is fully connected to the next Σ | ϕ Σ | ϕ Σ | ϕ
A simple pseudo-neural network example Size # Bedrooms FamilyFit Expected Price Commute Zipcode SchoolQuality Average Income (adapted from Andrew Ng)
All neurons in a level have the same ϕ Σ | ϕ 0 Σ | ϕ 1 Σ | ϕ 0 ϕ 0 ϕ 1
Bias neurons can shift at a level ϕ B 0 B 1 Σ | ϕ 0 Σ | ϕ 1 Σ | ϕ 0 ϕ 0 ϕ 1
Neural network examples from AI for Humans, Vol 3., J. Heaton NOT AND OR B B B -1.5 -0.5 0.5 O O O 1 1 I 0 I 0 -1 1 1 I 0 I 1 I 1
Neural network example: XOR adapted from AI for Humans, Vol 3., J. Heaton ϕ B 0 B 1 B 2 1 -1.5 -1.5 0.5 -0.5 1 -1 1 O H 00 I 0 H 10 I 0 I 1 H 00 H’ 00 H 01 H’ 01 H 10 H’ 10 O O’ 1 1 0 0 -1.5 0 -0.5 0 0.5 1 -0.5 0 1 0 1 -0.5 0 0.5 1 0.5 1 0.5 1 1 I 1 H 01 1 0 -0.5 0 0.5 1 0.5 1 0.5 1 1 1 -0.5 0 0.5 1 1.5 1 -0.5 0

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