What is the purpose of the `format_data` function in the chatbot dataset buffering process?
Tuesday, 08 August 2023
by EITCA Academy
The `format_data` function plays a crucial role in the chatbot dataset buffering process in the context of creating a chatbot with deep learning, Python, and TensorFlow. Its purpose is to preprocess and transform the raw data into a suitable format that can be used for training the deep learning model. The first step of the
How can we implement tokenization using TensorFlow?
Saturday, 05 August 2023
by EITCA Academy
Tokenization is a fundamental step in Natural Language Processing (NLP) tasks that involves breaking down text into smaller units called tokens. These tokens can be individual words, subwords, or even characters, depending on the specific requirements of the task at hand. In the context of NLP with TensorFlow, tokenization plays a crucial role in preparing
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Natural Language Processing with TensorFlow, Tokenization, Examination review
Tagged under:
Artificial Intelligence, Natural Language Processing, NLP, TensorFlow, Text Preprocessing, Tokenization