B-VGG16: Binary Quantized Convolutional Neuronal Network for image classification
In this work, a Binary Quantized Convolution neural network for image classification is trained and evaluated. Binarized neural networks reduce the amount of memory, and it is possible to implement them with less hardware than those that use real value variables (Floating Point 32 bits). This type o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Buenos Aires
2022-12-01
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| Series: | Revista Elektrón |
| Subjects: | |
| Online Access: | http://elektron.fi.uba.ar/index.php/elektron/article/view/169 |