Youtor
torchnnEmbedding explained Characterlevel language model
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=euwN5DHfLEo
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 • If you have any video suggestions or you just wanna chat feel free to join the discord server: / discord • Twitter: / moverfitted • 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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