Deep Structured Semantic Model (DSSM) for Text & Speech Processing training explains how deep learning is used to understand meaning in text and speech data. It shows how models convert words, sentences, and audio into vector representations. These vectors help systems compare meaning instead of just keywords. The course covers embeddings, similarity scoring, and basic neural network concepts. Learners also see how DSSM improves search, speech recognition, and recommendation systems. It focuses on practical use cases like voice search and chat-based applications. This training is useful for learners in AI, NLP, and speech analytics fields.
Showing the single result
