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I've been experimenting with the Parametric UMAP using the example notebooks. However, I'm encountering an issue where the loss values I'm getting are significantly higher than in notebooks. This has …
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train.py里的from convnet import ConvNet,convnet 在哪?
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An enhancement for convnet would be verbose, which prints the percentage of the files done that are supplied to convnet and time taken
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Traceback (most recent call last):
File "main.py", line 21, in
maybe_text = user.select_text_among_candidates('/home/rituraj/ImageTextRecognition-master/linearsvc-hog-fulltrain2-90.pickle')
F…
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I am considering using Gorgonia for a research project, as an alternative to Tensorflow, since I have other code already written in Go. I tried to run the `convnet` example included in Gorgonia: it ta…
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Hi,
I'm a beginner in Deep Learning and cntk. For a project I set up a basic CNN (AlexNet) which works fine so far. Although it would be benefitical for me to have a semantic segmentation network. …
ueezb updated
6 years ago
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Like in TFJS book section 7.3.3 Visual interpretation of a convnet’s classification result
Could add it to a support tfjs-vis panel
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in deep_convnet.py
`pre_node_nums = np.array([1*3*3, 16*3*3, 16*3*3, 32*3*3, 32*3*3, 64*3*3, 64*4*4, hidden_size])`
how to compute the neurons number in each convolution layer? why not `pre_node…
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### Pre-processing
Following the approach in [4], the input images are bi-linearly up/down-sampled to a fixed resolution of 32x32. The results are subsequently converted to gray scale by discarding t…
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Support for the following ConvNets to compare the performance of each in various tasks:
- [x] deeplabV3
- [x] deeplabV3+
- [x] Unet++
- [ ] HRNet
AOS55 updated
3 years ago