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Created page with "=Introduction= There is a book on github to get you going. https://github.com/fastai/fastbook ==Neural Network== A neural network is a series of algorithms that endeavors to r..." |
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==Neural Network== | ==Neural Network== | ||
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria. The concept of neural networks, which has its roots in artificial intelligence, is swiftly gaining popularity in the development of trading systems. | A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria. The concept of neural networks, which has its roots in artificial intelligence, is swiftly gaining popularity in the development of trading systems. | ||
[[File:Neural network.png]] | [[File:Neural network.png|600px]] | ||
*Neural networks are a series of algorithms that mimic the operations of a human brain to recognize relationships between vast amounts of data. | *Neural networks are a series of algorithms that mimic the operations of a human brain to recognize relationships between vast amounts of data. | ||
*They are used in a variety of applications in financial services, from forecasting and marketing research to fraud detection and risk assessment. | *They are used in a variety of applications in financial services, from forecasting and marketing research to fraud detection and risk assessment. | ||
*Use of neural networks for stock market price prediction varies. | *Use of neural networks for stock market price prediction varies. | ||
Revision as of 00:31, 27 February 2021
Introduction
There is a book on github to get you going. https://github.com/fastai/fastbook
Neural Network
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria. The concept of neural networks, which has its roots in artificial intelligence, is swiftly gaining popularity in the development of trading systems.
- Neural networks are a series of algorithms that mimic the operations of a human brain to recognize relationships between vast amounts of data.
- They are used in a variety of applications in financial services, from forecasting and marketing research to fraud detection and risk assessment.
- Use of neural networks for stock market price prediction varies.