Understanding dilated mathematical relationship between image features and the convolutional neural network’s learnt parameters
Deep learning, in general, was built on input data transformation and presentation, model training with parameter tuning, and recognition of new observations using the trained model. However, this came with a high computation cost due to the extensive input database and the length of time required i...
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| Main Authors: | , , , |
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| Format: | Default Article |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/18525269.v1 |
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