Multimodal Deep Learning

由 C Akkus 著作 · 2023 · 被引用 21 次 — Abstract:This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the ...

2023年5月10日 — Multimodal deep learning models are typically composed of multiple unimodal neural networks, which process each input modality separately. For ...

Multimodal learning, in the context of machine learning, is a type of deep learning using a combination of various modalities of data, such as text, audio, ...

Multimodal deep learning trains AI models that combine information from several types of data simultaneously to learn their unified data representations and ...

2022年11月24日 — Multimodal deep learning allows for a more holistic understanding of data, as well as increased accuracy and efficiency.

2023年6月18日 — In an understandable language, multimodal learning is about exploring the interactions between various types of data, known as modalities, to ...

Multimodal deep learning is a type of deep learning that combines information from multiple modalities, such as text, image, audio, and video, ...

2022年12月15日 — Multimodal Deep Learning is a machine learning subfield that aims to train AI models to process and find relationships between different types ...