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Add version of TensorFlow in weeks 2 and 4 and fix typo in week 5 (#64)
Add version of TensorFlow in weeks 2 and 4 and fix typo in week 5
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project/week5-project.ipynb

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"source": [
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"Load StarSpace embeddings which were trained on Stack Overflow posts. These embeddings were trained in *supervised mode* for duplicates detection on the same corpus that is used in search. We can account on that these representations will allow us to find closely related answers for a question. \n",
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"\n",
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"If for some reasons you didn't train StarSpace embeddings in the assignment 3, you can use [pre-trained word vectors](https://code.google.com/archive/p/word2vec/) from Google. All instructions about how to work with these vectors were provided in the same assignment. However, we highly recommend to use StartSpace's embeddings, because it contains more appropriate embeddings. If you chose to use Google's embeddings, delete the words, which is not in Stackoverflow data."
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"If for some reasons you didn't train StarSpace embeddings in the assignment 3, you can use [pre-trained word vectors](https://code.google.com/archive/p/word2vec/) from Google. All instructions about how to work with these vectors were provided in the same assignment. However, we highly recommend to use StarSpace's embeddings, because it contains more appropriate embeddings. If you chose to use Google's embeddings, delete the words, which is not in Stackoverflow data."
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]
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{

week2/week2-NER.ipynb

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"\n",
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"For this task you will need the following libraries:\n",
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" - [Tensorflow](https://www.tensorflow.org) — an open-source software library for Machine Intelligence.\n",
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" \n",
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"In this assignment, we use Tensorflow 1.15.0. You can install it with pip:\n",
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"\n",
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" !pip install tensorflow==1.15.0\n",
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" \n",
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" - [Numpy](http://www.numpy.org) — a package for scientific computing.\n",
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" \n",
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"If you have never worked with Tensorflow, you would probably need to read some tutorials during your work on this assignment, e.g. [this one](https://www.tensorflow.org/tutorials/recurrent) could be a good starting point. "

week4/week4-seq2seq.ipynb

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"\n",
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"For this task you will need the following libraries:\n",
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" - [TensorFlow](https://www.tensorflow.org) — an open-source software library for Machine Intelligence.\n",
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" \n",
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"In this assignment, we use Tensorflow 1.15.0. You can install it with pip:\n",
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"\n",
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" !pip install tensorflow==1.15.0\n",
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" \n",
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" - [scikit-learn](http://scikit-learn.org/stable/index.html) — a tool for data mining and data analysis.\n",
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" \n",
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"If you have never worked with TensorFlow, you will probably want to read some tutorials during your work on this assignment, e.g. [Neural Machine Translation](https://www.tensorflow.org/tutorials/seq2seq) tutorial deals with very similar task and can explain some concepts to you. "

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