For questions about word embedding, a language modelling technique in natural language processing.
I'm currently working with a Keras model which has a embedding layer as first layer. In order to visualize the …
python dictionary keras keras-layer word-embeddingI have seen that NLP models such as BERT utilize WordPiece for tokenization. In WordPiece, we split the tokens like …
nlp word-embeddingI thought mask_zero=True will output 0's when the input value is 0, so the following layers could skip computation …
python machine-learning keras word-embeddingI have trained word2vec in gensim. In Keras, I want to use it to make matrix of sentence using …
python keras gensim word2vec word-embeddingI've been following Towards Data Science's tutorial about word2vec and skip-gram models, but I stumbled upon a problem that …
python tensorflow keras word2vec word-embeddingIn the paper that I am trying to implement, it says, In this work, tweets were modeled using three types …
machine-learning nlp word2vec tf-idf word-embeddingObjective : Identifying class label using user entered question (like Question Answer system). Data extracted from Big PDF file, and need …
tensorflow keras lstm text-classification word-embeddingI want to use a pretrained model to warmly start another model with a little difference. Simply, I create a …
python tensorflow deep-learning word-embeddingI don't understand the Embedding layer of Keras. Although there are lots of articles explaining it, I am still confused. …
machine-learning neural-network keras word-embeddingI've been trying to understand the sample code with https://www.tensorflow.org/tutorials/recurrent which you can find at …
python tensorflow lstm word2vec word-embedding