How does tokenization help in training a neural network to understand the meaning of words?
Saturday, 05 August 2023
by EITCA Academy
Tokenization plays a crucial role in training a neural network to understand the meaning of words in the field of Natural Language Processing (NLP) with TensorFlow. It is a fundamental step in processing textual data that involves breaking down a sequence of text into smaller units called tokens. These tokens can be individual words, subwords,
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Natural Language Processing with TensorFlow, Tokenization, Examination review
Tagged under:
Artificial Intelligence, Neural Networks, NLP, Semantic Meaning, TensorFlow, Tokenization
What is tokenization in the context of natural language processing?
Saturday, 05 August 2023
by EITCA Academy
Tokenization is a fundamental process in Natural Language Processing (NLP) that involves breaking down a sequence of text into smaller units called tokens. These tokens can be individual words, phrases, or even characters, depending on the level of granularity required for the specific NLP task at hand. Tokenization is a crucial step in many NLP