注意下面很多链接需要访问外国网站,无奈国情如此
1. Google相关
1.1 Google在distill.pub上发的又一篇极漂亮的文章
Differentiable Image Parameterizations
链接:https://distill.pub/2018/differentiable-parameterizations/#section-aligned-interpolation
1.2 用tf eager mode写RL A3C算法
Deep Reinforcement Learning: Playing CartPole through Asynchronous Advantage Actor Critic (A3C) with tf.keras and eager execution
链接:https://medium.com/tensorflow/deep-reinforcement-learning-playing-cartpole-through-asynchronous-advantage-actor-critic-a3c-7eab2eea5296
1.3 用tf eager mode写style transfer
Neural Style Transfer: Creating Art with Deep Learning using tf.keras and eager execution
链接:https://medium.com/tensorflow/neural-style-transfer-creating-art-with-deep-learning-using-tf-keras-and-eager-execution-7d541ac31398
1.4 TensorFuzz,测试神经网络利器
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
链接:https://arxiv.org/pdf/1807.10875.pdf
1.5. AutoML最新进展MnasNet,还是用RL搜索,只不过目标换成了多目标,然后把搜索空间做了一些变换
MnasNet: Platform-Aware Neural Architecture Search for Mobile
链接:https://arxiv.org/pdf/1807.11626.pdf
1.6 用tfjs识别手语并链接到Alexa上
Getting Alexa to Respond to Sign Language Using Your Webcam and TensorFlow.js
链接:https://medium.com/tensorflow/getting-alexa-to-respond-to-sign-language-using-your-webcam-and-tensorflow-js-735ccc1e6d3f
1.7 Android Smart Linkify原理
The Machine Learning Behind Android Smart Linkify
链接:https://ai.googleblog.com/2018/08/the-machine-learning-behind-android.html
2. 生成自然语言,从seq2seq到GAN到RL,很详细了
Generating Natural-Language Text with Neural Networks
链接:https://blog.usejournal.com/generating-natural-language-text-with-neural-networks-e983bb48caad
3. 在处理序列数据的时候,也可以不用RNN
When Recurrent Models Don't Need to be Recurrent
链接:http://www.offconvex.org/2018/07/27/approximating-recurrent/
4. 用视频,声音和文字3个维度来判断一个人是不是展示了好的第一印象
Good First Impressions According to Data Science
链接:https://medium.com/datadriveninvestor/good-first-impressions-according-to-data-science-499d4225044d
5. program synthesis survey(完全不懂这个领域)
https://alexpolozov.com/blog/program-synthesis-2018/
链接:https://alexpolozov.com/blog/program-synthesis-2018/
6. RAAIS 2018大会的总结和视频
11 must watch RAAIS 2018 talks and commentary
链接:https://www.getrevue.co/profile/nathanbenaich/issues/11-must-watch-raais-2018-talks-and-commentary-126293
7. ML系统的version control
Data Version Control Tutorial
链接:https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46
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