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harvardnlp.github.io
| | sigmoidprime.com
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| | An exploration of Transformer-XL, a modified Transformer optimized for longer context length.
| | teddykoker.com
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| | This post is the first in a series of articles about natural language processing (NLP), a subfield of machine learning concerning the interaction between computers and human language. This article will be focused on attention, a mechanism that forms the backbone of many state-of-the art language models, including Googles BERT (Devlin et al., 2018), and OpenAIs GPT-2 (Radford et al., 2019).
| | nlp.seas.harvard.edu
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| | The Annotated Transformer
| | initialcommit.com
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| Here, we'll discuss four of the most popular machine learning toolkits for Python. To provide a comparison between these different toolkits, we will demonstrate training a neural network on the Iris dataset a very simple dataset that is popular in the machine learning space.