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Adds Handwritten Digit Recognition example #43
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DnPlas
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unrahul
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Jan 13, 2020
| x = self.conv1(x) | ||
| x = F.relu(x) | ||
| x = self.conv2(x) | ||
| x = F.max_pool2d(x, 2) |
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is there are reason why no activation fn is given here?
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Hey @DnPlas does this network perform well, without a non linear activation here?
unrahul
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unrahul
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unrahul
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some comments, please see.
unrahul
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Jan 15, 2020
| help="number of epochs to train (default: 10)", | ||
| ) | ||
| parser.add_argument( | ||
| "--lr", type=float, default=1.0, metavar="LR", help="learning rate (default: 0.01)" |
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nit: change default=0.01 :)
unrahul
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Jan 15, 2020
| parser.add_argument( | ||
| "--test-batch-size", | ||
| type=int, | ||
| default=1000, |
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may be make it same as the training batch, 64 ?
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January 15, 2020 13:29
* Python scripts for training, classifying and model serving * Docker images for all tasks mentioned above Signed-off-by: Daniela Plascencia <daniela.plascencia@linux.intel.com>
Signed-off-by: Daniela Plascencia <daniela.plascencia@linux.intel.com>
Signed-off-by: Daniela Plascencia <daniela.plascencia@linux.intel.com>
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Adding the Handwritten Digit Recognition based on DLRS, Pytorch and MNIST.
This series introduces the following changes: