Andy Pack
c3ebefdd64
Affected files: .obsidian/workspace.json Food/Plans & Recipes.canvas Health/ADHD.md Health/Alexithymia.md Health/Anxiety.md Health/BWS.md Health/Worry Tree.md History/Britain.md Media/Listen.md Media/Watch.md Money/Assets/Asset.md Money/Assets/CFD.md Money/Assets/Derivative.md Money/Assets/Financial Instruments.md Money/Assets/Options.md Money/Assets/Security.md Money/Assets/Stocks.md Money/Econ.md Money/Equity.md Money/Inflation.md Money/Markets/Commodity.md Money/Markets/Markets.md Money/Markets/Types.md Money/Prices.md Money/To Learn.md Politcs/British/Prime Ministers.md Politcs/British/Tory.md Politcs/Neoliberalism/Thatcher.md Politcs/Now.md Projects/Dev Options.md STEM/AI/Neural Networks/Activation Functions.md STEM/AI/Neural Networks/MLP/Back-Propagation.md STEM/AI/Neural Networks/SLP/Least Mean Square.md STEM/AI/Pattern Matching/Markov/Markov.md STEM/Maths/Algebra.md STEM/Maths/Tensor.md STEM/Maths/Vector Operators.md Want/Clothes.md Want/House.md Want/Want.md Work/Board.canvas |
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CNN | ||
CV | ||
Learning | ||
MLP | ||
RNN | ||
SLP | ||
Transformers | ||
Activation Functions.md | ||
Architectures.md | ||
Deep Learning.md | ||
Neural Networks.md | ||
Properties+Capabilities.md | ||
README.md | ||
Training.md | ||
Weight Init.md |
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- Massively parallel, distributed processor
- Natural propensity for storing experiential knowledge
Resembles Brain
- Knowledge acquired from by network through learning
- Interneuron connection strengths store acquired knowledge
- Synaptic weights
A neural network is a directed graph consisting of nodes with interconnecting synaptic and activation links, and is characterised by four properties
- 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
- The synaptic links of a neuron weight their respective input signals
- The weighted sum of the input signals defines the induced local field of the neuron in question
- The activation link squashes the induced local field of the neuron to produce an output
Knowledge
Knowledge refers to stored information or models used by a person or machine to interpret, predict, and appropriately respond to the outside world
Made up of:
- The known world state
- Represented by facts about what is and what has been known
- Prior information
- Observations of the world
- Usually inherently noisy
- Measurement error
- Pool of information used to train
- Can be labelled or not
- (Un-)Supervised
Knowledge representation of the surrounding environment is defined by the values taken on by the free parameters of the network
- Synaptic weights and biases