What is the TensorFlow Keras Tokenizer API maximum number of words parameter?
Sunday, 14 April 2024
by ankarb
The TensorFlow Keras Tokenizer API allows for efficient tokenization of text data, a crucial step in Natural Language Processing (NLP) tasks. When configuring a Tokenizer instance in TensorFlow Keras, one of the parameters that can be set is the `num_words` parameter, which specifies the maximum number of words to be kept based on the frequency
What is the purpose of creating a lexicon in deep learning with TensorFlow?
Tuesday, 08 August 2023
by EITCA Academy
A lexicon, also known as a vocabulary or word list, plays a crucial role in deep learning with TensorFlow. It serves the purpose of providing a comprehensive collection of words or tokens that are relevant to a specific domain or problem. The creation of a lexicon is an essential step in many natural language processing
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, TensorFlow, Using more data, Examination review
Tagged under:
Artificial Intelligence, Deep Learning, Lexicon, Natural Language Processing, TensorFlow, Vocabulary