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Affected files: .obsidian/graph.json .obsidian/workspace-mobile.json .obsidian/workspace.json STEM/AI/Ethics.md STEM/AI/Neural Networks/Activation Functions.md STEM/AI/Neural Networks/CNN/CNN.md STEM/AI/Neural Networks/Deep Learning.md STEM/AI/Neural Networks/MLP/Back-Propagation.md STEM/AI/Neural Networks/MLP/MLP.md STEM/AI/Neural Networks/Neural Networks.md STEM/AI/Neural Networks/Properties+Capabilities.md STEM/AI/Neural Networks/RNN/LSTM.md STEM/AI/Neural Networks/RNN/RNN.md STEM/AI/Neural Networks/RNN/VQA.md STEM/AI/Neural Networks/SLP/SLP.md STEM/AI/Neural Networks/Training.md STEM/AI/Neural Networks/Transformers/Attention.md STEM/AI/Neural Networks/Transformers/LLM.md STEM/AI/Neural Networks/Transformers/Transformers.md STEM/Signal Proc/System Classes.md STEM/img/back-prop-equations.png STEM/img/back-prop-weight-changes.png STEM/img/back-prop1.png STEM/img/back-prop2.png STEM/img/cnn+lstm.png STEM/img/deep-digit-classification.png STEM/img/deep-loss-function.png STEM/img/llm-family-tree.png STEM/img/lstm-slp.png STEM/img/lstm.png STEM/img/matrix-dot-product.png STEM/img/ml-dl.png STEM/img/photo-tensor.png STEM/img/relu.png STEM/img/rnn-input.png STEM/img/rnn-recurrence.png STEM/img/slp-arch.png STEM/img/threshold-activation.png STEM/img/transformer-arch.png STEM/img/vqa-block.png
36 lines
1.5 KiB
Markdown
36 lines
1.5 KiB
Markdown
- Massively parallel, distributed processor
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- Natural propensity for storing experiential knowledge
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# Resembles Brain
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- Knowledge acquired from by network through learning
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- Interneuron connection strengths store acquired knowledge
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- Synaptic weights
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![[slp-arch.png]]
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A neural network is a directed graph consisting of nodes with interconnecting synaptic and activation links, and is characterised by four properties
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1. Each neuron is represented by a set of linear synaptic links, an externally applied bias, and a possibly nonlinear activation link. The bias is represented by a synaptic link connected to an input fixed at +1
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2. The synaptic links of a neuron weight their respective input signals
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3. The weighted sum of the input signals defines the induced local field of the neuron in question
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4. The activation link squashes the induced local field of the neuron to produce an output
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# Knowledge
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*Knowledge refers to stored information or models used by a person or machine to interpret, predict, and appropriately respond to the outside world*
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Made up of:
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1. The known world state
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- Represented by facts about what is and what has been known
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- Prior information
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2. Observations of the world
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- Usually inherently noisy
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- Measurement error
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- Pool of information used to train
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- Can be labelled or not
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- (Un-)Supervised
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*Knowledge representation of the surrounding environment is defined by the values taken on by the free parameters of the network*
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- Synaptic weights and biases |