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@@ -135,6 +135,12 @@
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* [harb Офлайн А/Б тестирование в ритейле](https://habr.com/company/ods/blog/416101/)
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* [habr 3-е место в отборочном этапе DataScienceGame 2018](https://habr.com/company/ods/blog/416817/)
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* [RL habr Как казаки retro контест решали](https://habr.com/company/ods/blog/421585/)
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+* [The Annotated Transformer](http://nlp.seas.harvard.edu/2018/04/03/attention.html)
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+* [The Annotated Encoder Decoder with Attention](https://bastings.github.io/annotated_encoder_decoder/)
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+* [How to train your ResNet5, search optimal hyperparameters](https://www.myrtle.ai/2018/09/24/how-to-train-your-resnet-5/)
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+* [Transfer Learning in NLP (nlp-imagenet-ruder)](http://ruder.io/nlp-imagenet/)
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+* [Differentiable Image Parameterizations](https://distill.pub/2018/differentiable-parameterizations/)
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+* [Every fucking post here](https://arogozhnikov.github.io)
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<a id="Штуки-что-я-прочитал"></a>
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## Штуки, что я прочитал
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@@ -177,6 +183,16 @@
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* [Serverless tensorflow на AWS Lambda](https://habr.com/company/ods/blog/343538/)
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* [Levenberg-Marquardt Optimization (Part 1)](https://medium.com/@sarvagya.vaish/levenberg-marquardt-optimization-part-1-981f5777b1d7)
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* [Методы оптимизации нейронных сетей](https://habr.com/post/318970/)
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+* [DeepHD](https://habr.com/company/yandex/blog/422561/)
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+* [Kaggle Mercedes и кросс-валидация](https://habr.com/company/ods/blog/336168/)
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+* [Introduction to Chainer Presentation](https://www.slideshare.net/pfi/introduction-to-chainer-11-may2018-96768990)
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+* [Визуализация сверточных слоев с помощью Pytorch](https://habr.com/ru/post/436838/)
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+* [Running Jupyter Lab as a Desktop Application](http://christopherroach.com/articles/jupyterlab-desktop-app/)
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+* [AlphaStar — новая система искусственного интеллекта для StarCraft II от DeepMind (полный перевод)](https://habr.com/ru/post/437486/)
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+* [https://habr.com/ru/post/437796/](https://habr.com/ru/post/437796/)
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+* [Как мы создали рекомендательный сервис по подбору одежды на нейронных сетях](https://habr.com/ru/post/438542/)
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+* [IPython interactive control](https://towardsdatascience.com/interactive-controls-for-jupyter-notebooks-f5c94829aee6)
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+*
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---
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@@ -204,6 +220,7 @@
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* [Attention is all you need by Ilya Polosuhin](https://www.youtube.com/watch?v=I0nX4HDmXKc)
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* [Simon says LSTM](https://www.youtube.com/watch?v=wYI7RZz4Rz0)
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* [Интервью с Виктором Рогуленко](http://youtube.com/watch?v=ymSqI0hVj-Q)
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+* [Карты кохонена](https://www.youtube.com/watch?v=5FiH88Rs8Hc&list=PLDCR37g8W9nFO5bPnL91WF28V5L9F-lJL&index=5)
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<a id="Видео-что-я-посмотрел"></a>
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## Видео, что я посмотрел
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@@ -242,7 +259,11 @@
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<a id="Научные-статьи-что-я-прочитал"></a>
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## Научные статьи, что я прочитал
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* [Deep Learning Based Solar Flare Forecasting Model. I. Results for Line-of-sight Magnetograms et al 2018](http://iopscience.iop.org/article/10.3847/1538-4357/aaae00)
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-* (https://arxiv.org/pdf/1809.09244.pdf)
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+* [No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference](https://arxiv.org/abs/1809.09244)
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+* [Identification of photospheric activity features from SOHO/MDI data using the ASAP tool](https://arxiv.org/abs/1505.02036)
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+* Identification of photospheric activity features from SOHO/MDI data using the ASAP tool Sol. Phys., 248, 277–296, 2008. DOI: 10.1007/s11207-007-9094-3
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+* Colak, T., and R. Qahwaji. Automated Solar Activity Prediction: A hybrid computer platform using machine learning and solar imaging for automated prediction of solar flares. Space Weather, 7, S06001, 2009. DOI: 10.1029/2008SW000401
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+* [Byte-Pair-Encoding et al 2015 senrich](https://arxiv.org/pdf/1508.07909.pdf)
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------
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@@ -278,7 +299,8 @@
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* [Scaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep Learning.](https://eng.uber.com/cota-v2/)
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* [Pandas Cheat Sheet](https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf)
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* [DeepLearningAnimePapers](https://github.com/deeppomf/DeepLearningAnimePapers) - A list of papers and other resources on deep learning with anime style images.
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-*
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+* [**A list of all papers and resoureces on Semantic Segmentation**](https://github.com/tangzhenyu/SemanticSegmentation_DL)
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+* [Deep Learning in Medical Imaging and Medical Image Analysis](https://github.com/shawnyuen/DeepLearningInMedicalImagingAndMedicalImageAnalysis)
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----
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<a id="necessary-and-useful-tools"></a>
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