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https://papers.nips.cc/paper/4474-learning-to-learn-with-compound-hd-models.pdf
We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learn…
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### In what scenarios do you need this feature?
After configuring siyuan's OCR, I felt that the recognition rate was low. Later, then I switched to software that invoke the paddleOCR API and found th…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Separating text from image :
:red_circle:Aim of the project is to provide users with a code that can help them take out t…
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This code can be optimized by integrating more technical indicators or other concepts of Machine learning or deep learning
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Subscribe to this issue and stay notified about new [weekly trending repos in Python](https://github.com/trending/python?since=weekly)!
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https://arxiv.org/abs/1805.12114
- Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine
- Submitted on 30 May 2018
- NIPS `Data-Efficient Model-based Reinforcement Learning with Deep Pr…
TMats updated
5 years ago
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There's very much a question of whether this is worth the leap for us in the short term, but either way it's worth documenting what this might involve.
First of all, we use scikit-learn for running…
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This paper:
https://arxiv.org/pdf/1511.04587.pdf
... suggests "adjustable gradient clipping", which seems to greatly help in training deep networks quickly and efficiently. Basically they suggest to…
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Lower precious numbers and especially [half-precious floats](https://en.wikipedia.org/wiki/Half-precision_floating-point_format) became popular recently in Deep Learning community, since they allow fa…
Randl updated
7 years ago