keras-nlp - PyPI
https://pypi.org/project/keras-nlp29.05.2020 · Files for keras-nlp, version 0.0.2; Filename, size File type Python version Upload date Hashes; Filename, size keras_nlp-0.0.2-py3-none-any.whl (23.7 kB) File type Wheel Python version py3 Upload date Sep 18, 2020 Hashes View
keras-nlp · PyPI
pypi.org › project › keras-nlpMay 29, 2020 · Files for keras-nlp, version 0.0.2; Filename, size File type Python version Upload date Hashes; Filename, size keras_nlp-0.0.2-py3-none-any.whl (23.7 kB) File type Wheel Python version py3 Upload date Sep 18, 2020 Hashes View
NLP with Keras — Data For Science
data4sci.com › nlp-with-kerasNatural Language lies at the heart of current developments in Artificial Intelligence, User Interaction and Information Processing. The combination of unprecedented corpora of written text provided by Social Media and the massification of computational power has led to increased interest in the development of modern NLP tools based on state-of-the-art Deep Learning tools.
NLP with Keras - Data For Science
https://data4sci.com/nlp-with-kerasNLP with Keras Data Visualization Deep Learning Probability Theory Network Theory Timeseries Advanced Timeseries Python for Excel Users Causal Inference Blockchain Technology Recurrent Neural Networks Contact/ Summary Natural Language lies at the heart of current developments in Artificial Intelligence, User Interaction and Information Processing.
Natural Language Processing - Keras
keras.io › examples › nlpNatural Language Processing. Text classification from scratch. Review Classification using Active Learning. Sequence to sequence learning for performing number addition. Bidirectional LSTM on IMDB. Character-level recurrent sequence-to-sequence model. End-to-end Masked Language Modeling with BERT. Large-scale multi-label text classification.
Introduction to Keras for NLP | NLP-FOR-HACKERS
https://nlpforhackers.io/keras-intro08.08.2018 · Keras is a deep learning framework that actually under the hood uses other deep learning frameworks in order to expose a beautiful, simple to use and fun to work with, high-level API. Keras can use either of these backends: Tensorflow – Google’s deeplearning library Theano – may not be further developed CNTK – Microsoft’s deeplearning library
Natural Language Processing - Keras
https://keras.io/examples/nlpNatural Language Processing. Text classification from scratch. Review Classification using Active Learning. Sequence to sequence learning for performing number addition. Bidirectional LSTM on IMDB. Character-level recurrent sequence-to-sequence model. End-to-end Masked Language Modeling with BERT. Large-scale multi-label text classification.