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@@ -33,9 +33,17 @@
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* [Carnegie Melon Deep Learning Course](http://deeplearning.cs.cmu.edu)
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## Курсы, что я уже прошел
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+* [Летняя Школа. Мастерская Deep Learning](http://letnyayashkola.org/deeplearning/)
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+* DataCamp:
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+ * [Intro to Python for Data Science](https://www.datacamp.com/courses/intro-to-python-for-data-science)
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+ * [Intermediate Python for Data Science](https://www.datacamp.com/courses/intermediate-python-for-data-science)
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+ * [Intro to SQL for Data Science](https://www.datacamp.com/courses/intro-to-sql-for-data-science)
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+ * [Joining Data in PostgreSQL](https://www.datacamp.com/courses/joining-data-in-postgresql)
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-## Летняя школа, что я помогал проводить
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+
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+## Где я участвовал как слушатель или как участник или как организатор. Школы, конференции, семинары
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[Летняя Школа. Мастерская Deep Learning](http://letnyayashkola.org/deeplearning/)
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+[Data Fest^5, Москва,28 апреля 2018](http://datafest.ru/5/)
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-----
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@@ -105,6 +113,7 @@
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* [Simple audio classification in keras in R](http://blogs.rstudio.com/tensorflow/posts/2018-06-06-simple-audio-classification-keras/)
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* [Пицца аля-semi-supervised](https://habr.com/company/ods/blog/422873/)
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* [Определение цвета автомобилей с использованием нейронных сетей и TensorFlow](https://habr.com/company/intel/blog/422689/)
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+* [Yes, you should understand backprop. A. Karpaty](https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b)
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*
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*
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-----
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@@ -150,9 +159,11 @@
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* [Illustrated Guide to Recurrent Neural Networks](https://youtu.be/LHXXI4-IEns)
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* [illustrated guide to LSTM's and GRU's](https://www.youtube.com/watch?v=8HyCNIVRbSU)
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* [Visual Rhythm Beat](https://www.youtube.com/watch?v=K3z68mOLbNo&feature=youtu.be)
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+* [Deep Learning, Structure and Innate Priors](https://youtu.be/fKk9KhGRBdI)
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+*
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## Работы, что я прочитал
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-*
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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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