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Chapter 5 - Word Embeddings.ipynb

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"id": "2N9p1weIgMXb"
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},
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"source": [
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"#2. Learning Word Embeddings\n",
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"# 2. Learning Word Embeddings\n",
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"\n",
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"Our goal is to train a set of word embeddings for the corpus above. Let's build a skip-gram model with negative sampling, followed by a GloVe model. Before we train either model, let's see how many unique words exist in the preprocessed 4.86 million word corpus.\n"
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Dockerfile

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git \
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bzip2 \
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libx11-6 \
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build-essential \
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&& rm -rf /var/lib/apt/lists/*
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# Create a working directory

README.md

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```
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docker build -t chapter_5:latest .
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```
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## Book Reference
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More information can be found at: [Deep Learning for NLP and Speech Recognition](https://www.amazon.com/Deep-Learning-NLP-Speech-Recognition/dp/3030145956) by [Springer](https://www.springer.com/us/book/9783030145958)

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