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社区首页 >专栏 >机器学习人工学weekly-2018/5/6

机器学习人工学weekly-2018/5/6

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windmaple
发布2018-07-27 11:53:33
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发布2018-07-27 11:53:33
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1. Facebook这周太热闹,因为开F8大会(视频回放在https://www.f8.com/)

1.1 开源ELF OpenGo开源围棋项目

链接:https://research.fb.com/facebook-open-sources-elf-opengo/?utm_campaign=ARCHITECHT&utm_medium=email&utm_source=ARCHITECHT_23

1.2 PyTorch 1.0

链接:https://code.facebook.com/posts/172423326753505/announcing-pytorch-1-0-for-both-research-and-production/?utm_campaign=ARCHITECHT&utm_medium=email&utm_source=ARCHITECHT_23

1.3 ONNX增加新的框架支持

链接:https://code.facebook.com/posts/1714175645317654/onnx-expansion-speeds-ai-development/?utm_campaign=ARCHITECHT&utm_medium=email&utm_source=ARCHITECHT_23

1.4 弱监督学习做图像识别

链接:https://code.facebook.com/posts/1700437286678763/advancing-state-of-the-art-image-recognition-with-deep-learning-on-hashtags/

2. 用ML学习数据库index

An Introduction to Hashing in the Era of Machine Learning

链接:https://blog.bradfieldcs.com/an-introduction-to-hashing-in-the-era-of-machine-learning-6039394549b0

3. 从机器学习云平台偷模型

Stealing Machine Learning Models via Prediction APIs

链接:https://arxiv.org/pdf/1609.02943v2.pdf

4. minimax在tic tac toe上的教程

How to make your Tic Tac Toe game unbeatable by using the minimax algorithm

链接:https://medium.freecodecamp.org/how-to-make-your-tic-tac-toe-game-unbeatable-by-using-the-minimax-algorithm-9d690bad4b37

5. gradient boosting教程

Gradient Boosting from scratch

链接:https://medium.com/mlreview/gradient-boosting-from-scratch-1e317ae4587d

6. object detection简单教程

Object detection with neural networks — a simple tutorial using keras

链接:https://towardsdatascience.com/object-detection-with-neural-networks-a4e2c46b4491

7. 模型评价标准

Beyond Accuracy: Precision and Recall

链接:https://towardsdatascience.com/beyond-accuracy-precision-and-recall-3da06bea9f6c

8. HyperTools:python可视化数据

链接:http://hypertools.readthedocs.io/en/latest/index.html

9. 麦肯锡关于AI应用场景的notes

链接:https://www.mckinsey.com/~/media/mckinsey/global%20themes/artificial%20intelligence/notes%20from%20the%20ai%20frontier%20applications%20and%20value%20of%20deep%20learning/mgi_notes-from-ai-frontier_discussion-paper.ashx

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原始发表:2018-05-06,如有侵权请联系 cloudcommunity@tencent.com 删除

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