Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik / / Norbert Mitschke.
In the first part of this dissertation, a framework for the design of a CNN for FPGAs is presented, consisting of a preprocessing algorithm, an augmentation technique, a custom quantization scheme and a pruning step of the CNN. The combination of conventional image processing with neural networks is...
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| Place / Publishing House: | [Place of publication not identified] : : KIT Scientific Publishing,, 2022. |
| Year of Publication: | 2022 |
| Language: | German |
| Physical Description: | 1 online resource (212 pages) |
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| 245 | 1 | 0 | |a Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik / |c Norbert Mitschke. |
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| 520 | |a In the first part of this dissertation, a framework for the design of a CNN for FPGAs is presented, consisting of a preprocessing algorithm, an augmentation technique, a custom quantization scheme and a pruning step of the CNN. The combination of conventional image processing with neural networks is shown in the second part by an example from robotics, where an image-based visual servoing process is successfully conducted for a gripping process of a robot. | ||
| 650 | 0 | |a Electrical engineering. | |
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