Explore >> Select a destination
|
You are here 
|
blog.acolyer.org | ||
| | | | |
www.mlpowered.com
|
|
| | | | | Blog posts and other information | |
| | | | |
www.singlelunch.com
|
|
| | | | | This is the blog version of a talk of mine on embedding methods. It's the main slides and what I would say in the talk. Intended audience: Anyone interested in embedding methods. I don'... | |
| | | | |
mccormickml.com
|
|
| | | | | [AI summary] The tutorial provides a comprehensive guide to extracting and analyzing BERT embeddings. It begins with tokenization and segment embedding creation, followed by the calculation of word and sentence embeddings using different strategies such as summation and averaging of hidden layers. The context-dependent nature of BERT embeddings is demonstrated by comparing vectors for the word 'bank' in different contexts. The tutorial also discusses pooling strategies, layer choices, and the importance of context in generating meaningful embeddings. It concludes with considerations for special tokens, out-of-vocabulary words, similarity metrics, and implementation options. | |
| | | | |
golb.hplar.ch
|
|
| | | [AI summary] The article describes the implementation of a neural network in Java and JavaScript for digit recognition using the MNIST dataset, covering forward and backpropagation processes. | ||
