机器学习人工学weekly-2018/7/15

注意下面很多链接需要访问外国网站，无奈国情如此

1. DeepMind multi-agent抢旗游戏

Capture the Flag: the emergence of complex cooperative agents

链接：https://deepmind.com/blog/capture-the-flag/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=Deep%20Learning%20Weekly

2. OpenAI改进的generative model方法Glow

Glow: Better Reversible Generative Models

链接：https://blog.openai.com/glow/

3. Google用CNN发现蛋白质结晶

Automating Drug Discoveries Using Computer Vision

链接：https://ai.googleblog.com/2018/07/automating-drug-discoveries-using.html

4. 神经网络的计算速度分析（一个结论是内存访问的次数比纯计算重要多了）

How fast is my model

链接：http://machinethink.net/blog/how-fast-is-my-model/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=Deep%20Learning%20Weekly

5. TVM团队公布VTA（这个太偏硬件了，完全看不懂）

VTA: An Open, Customizable Deep Learning Acceleration Stack

链接：https://tvm.ai/2018/07/12/vta-release-announcement.html

6. The Gradient，这个网站不错，看的RL几篇文章都写的挺好的

链接：https://thegradient.pub/

7. 前两天刚看到旷世的Skynet截屏（公安系统人脸识别监控），然后很快就看到了这文章用红外+帽子攻击人脸识别系统

Invisible Mask: Practical Attacks on Face Recognition with Infrared

链接：https://arxiv.org/abs/1803.04683

8. random forest的feature importance分析

Beware Default Random Forest Importances

链接：http://explained.ai/rf-importance/index.html

9. PythonRobotics库，不是很懂机器人，不过貌似很多东西比如SLAM, path planning, localization都是用到自驾车上的算法

链接：https://atsushisakai.github.io/PythonRobotics/

10. 教程

10.1 bloomberg ML教程，看着很不错

FOUNDATIONS OF MACHINE LEARNING

链接：https://bloomberg.github.io/foml/#lectures

10.2 用Google TPU训练ResNet

How to train a ResNet image classifier from scratch on TPUs on Cloud ML Engine

链接：https://cloud.google.com/blog/big-data/2018/07/how-to-train-a-resnet-image-classifier-from-scratch-on-tpus-on-cloud-ml-engine

10.3 bagging vs. boosting

链接：https://becominghuman.ai/ensemble-learning-bagging-and-boosting-d20f38be9b1e

10.4 用Google Colab训练模型然后用tfjs放到浏览器里运行

Train a model in tf.keras with Colab, and run it in the browser with TensorFlow.js

链接：https://medium.com/tensorflow/train-on-google-colab-and-run-on-the-browser-a-case-study-8a45f9b1474e

10.5 face clustering教程

链接：https://www.pyimagesearch.com/2018/07/09/face-clustering-with-python/