was successfully added to your cart.

How to train state of the art NLP models without writing code using Ludwig

The talk will introduce Ludwig, a deep learning toolbox that allows to train models and to use them for prediction without the need to write code. It is unique in its ability to help make deep learning easier to understand for non-experts and enable faster model improvement iteration cycles for experienced machine learning developers and researchers alike.

By using Ludwig, experts and researchers can simplify the prototyping process and streamline data processing so that they can focus on developing deep learning architectures.

The talk will focus on NLP applications of Ludwig, like intent classification, NLU, sentiment analysis, summarization, multi-label classification, and more.

John Snow Labs NLU: The simplicity of Python, the power of Spark NLP

Learn how to unleash the power of 350+ pre-trained NLP models, 100+ Word Embeddings, 50+ Sentence Embeddings, and 50+ Classifiers in 46 languages with...