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## 💥 Proposal
Dataset = Mnist dataset
Model = SVM
Description = Develop a model using Support Vector Machine which correctly classifies the handwritten digits from 0-9 based on the pixel values giv…
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Create end-to-end demo for MNIST model based on cleaned up model as described in #731
This demo should take as input images from MNIST Handwritten Digit Classification Dataset and return predicted d…
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Create end-to-end demo for ConvNet_MNIST model based on cleaned up model as described in #734.
This demo should take as input images from MNIST Handwritten Digit Classification Dataset and return pre…
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## Keyword: sgd
There is no result
## Keyword: optimization
### Joint Information and Mechanism Design for Queues with Heterogeneous Users
- **Authors:** Authors: Nasimeh Heydaribeni, Achilleas Ana…
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## 🐛 Bug
Hi all I'm trying to build Caffe2 on Pytorch from Binaries, have used Python 2.7 with VS 2019 and CUDA 10.1. Cmake donwloaded manually and also updated via Conda as read from other users p…
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make a markdown file which document
1. an image of comparing color mnist from different domains and how to get this done from domainlab via --sanitycheck
2. how to do classification using deepall f…
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standard baselines are able to reach 90+ accuracy without much tweaking (see for example https://github.com/kuangliu/pytorch-cifar ), while our example never goes beyond 70% accuracy on the validation…
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Please go to TF Forum for help and support:
https://discuss.tensorflow.org/tag/keras
If you open a GitHub issue, here is our policy:
It must be a bug, a feature request, or a significant prob…
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Sik-Ho Tang. [Review — Gaussian Error Linear Units (GELUs)](https://sh-tsang.medium.com/review-gaussian-error-linear-units-gelus-d4d7347d1e11).
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The training log always output "No further splits with positive gain, best gain: 0.000000"
or "No further splits with positive gain, best gain: -inf, leaves: 22".
Although the final accuracy is good…