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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on strategic sampling and active learning. Here, you may also choose examples that built …
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**I find it so many ‘spark-deep-learning’, such as :**
elephas:https://github.com/maxpumperla/elephas
dist-keras:https://github.com/cerndb/dist-keras
sparknet:https://github.com/amplab/sparknet
dl…
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Lately, a lot of active learning methods have been developed for deep neural networks. Some of these state of the art methods are considered as a standard benchmark when comparing various active learn…
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**Submitting author:** @kulbachcedric (Cedric Kulbach)
**Repository:** https://github.com/online-ml/deep-river
**Branch with paper.md** (empty if default branch): paper
**Version:** v0.2.6
**Editor:**…
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**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Active Learning cycle has linear com…
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Hello,
Thanks for releasing the dataset. I am conducting some experiments based on your dataset and I am curious about the calculations for U-WER, B-WER, and Recall. Could you please provide the sc…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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[spark-deep-learning](https://github.com/databricks/spark-deep-learning) is actively developed, and has some nice code under the covers.
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Post your questions about: “[When Big Data is Too Small - Sampling, Crowd-Sourcing and Bias (Links to an external site.)](https://docs.google.com/document/d/1j4mReKY_pG29e5B8JTCEbx2ITvNHKhMNZT1rJMM4R7…
lkcao updated
2 years ago