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Tagged with autoencoderword-embeddings
5 questions
0votes
0answers
9views
Recreating Text Embeddings From An Example Dataset
I am in a situation where I have a list of sentences, and a list of their ideal embeddings on a 25-dimensional vector. I am trying to use a neural network to generate new encodings, but I am ...
- 13
1vote
1answer
312views
Latent space vs Embedding space | Are they same?
I am going through variational autoencoders and it is mentioned that: continuity (two close points in the latent space should not give two completely different contents once decoded) and completeness ...
- 165
1vote
0answers
170views
Word embedding autoencoder
I'm trying to train a word embedding autoencoder, but it either doesn't train, or trains but doesn't make predictions. I know I'm doing something wrong, so any help is greatly appreciated. Here is my ...
1vote
0answers
2kviews
Autoencoders versus Word2Vec?
I'm wondering if there has been some work done about using autoencoder versus using word2vec to produce word embeddings. Autoencoder could learn to map contexts words with themselves while word2vec ...
- 1,347
1vote
1answer
1kviews
Retain similarity distances when using an autoencoder for dimensionality reduction
I am trying to reduce the dimensionality of topic vectors (300, 1) to a two dimensional space. This has been done with various methods (e.g. t-SNE and autoencoders). A published example of reducing ...
- 119
