torch.nn.Embedding explained (+ Character-level language model)
In this video, I will talk about the Embedding module of PyTorch. It has a lot of applications in the Natural language processing field and also when working with categorical variables. I will explain some of its functionalities like the padding index and maximum norm. In the second part of this video I will use the Embedding module to represent characters in an English alphabet and build a text generating model. Once we train the model, we we look into how the character embeddings evolved over epochs.
Code: https://github.com/jankrepl/mildlyove...
00:00 Intro
01:23 BERT example
01:56 Behavior explained (IPython)
04:25 Intro character-level model
05:29 Dataset implementation
08:53 Network implementation
12:12 Text generating function
14:00 Training script implementation
17:55 Launching and analyze results
18:31 Visualization of results
20:31 Outro
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Credits logo animation
Title: Conjungation · Author: Uncle Milk · Source: / unclemilk · License: https://creativecommons.org/licenses/... · Download (9MB): https://auboutdufil.com/?id=600
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