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之前看到一个有意思的文章 [前端人工智能?TensorFlow.js 学会游戏通关](https://zhuanlan.zhihu.com/p/35451395),使用tensorflow.js训练模型玩google无网页面的彩蛋T-Rex Runner 。看了下代码,恩...果断看不懂。先看下演示效果: [Genetic Algorithm - T-Rex Runner](https://mag…
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Hi,I want detection traffic sign from big images.What can I do to improve the accuracy?
And I want to try to change the network. Should I just change the convolution of cfg?
If I want to reduce the…
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This is "of" subject. I'm trying - as side project to my job - to build a working trading bot, a scalping one at tick or low time frames. I'm using an IG broker account, trading CFD derivative market …
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## Keyword: metric learning
### Sparse online relative similarity learning
- **Authors:** Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li
- **Subjects:** Machine Learning (cs.LG); Artificial Inte…
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Description:
Virtual implantation of the neural interface in the nerve model, integration of fibrotic tissue layers, discretization.
Deliverable:
Studies on o²S²PARC
Acceptance criteria:
Mu…
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Have trained `update_v2` branch on :
* Extracted Semantic token from HuBert Large layer 16 with 1024 cluster Kmean. (`50 tok/sec`)
* Extracted Acoustic token from Encodec 24 khz sample rate, 240 ho…
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Implement Yolo-LSTM detection network that will be trained on Video-frames for mAP increasing and solve blinking issues.
* https://arxiv.org/abs/1705.06368v3
* https://arxiv.org/abs/1506.04214v2
…
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I think combining motion detection with classification like [yolo](https://pjreddie.com/darknet/yolo/) and using AI-sticks as workhorse could fit very nicely in to the core purpose of motioneyeos.
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I'm working on DRL framework using the PPO agent with Torch and experienced a difference in how observation spaces are handled. The example in the [documentation](https://xuance.readthedocs.io/en/late…
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Hello, I did some tests and I would like to share
I trained 4 models comparing the results between the same model with pre trained weights and without.
My configuration for this tests was:
Batch …