Autonomous learning machine for big online data analytics
Deep learning became very popular recently, as it is capable of tackling problems that humans are unable to solve through traditional programming. In this paper, we will go over the implementation of a deep learning model known as Autonomous Deep Learning(ADL), which is capable of being fully fle...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148656 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Deep learning became very popular recently, as it is capable of tackling problems that
humans are unable to solve through traditional programming. In this paper, we will go
over the implementation of a deep learning model known as Autonomous Deep
Learning(ADL), which is capable of being fully flexible and has a self-growing network
that adapts to the demand of its dataset by growing its hidden layers and nodes. This
is especially important in a non-stationary dataset where data sources can come from
different origins.Next, we convert ADL to fit in the context of regression, which is
called Autonomous Learning Machine (ALM). Afterwards, we will use it to analyze
real-world data of the remaining useful life of aircraft gas turbine engines. Lastly, the
experimental results will be summarised and compared with results from other
machine learning models. |
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