Mamba is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University...
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A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention...
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billion Architecture: Hybrid Mamba (SSM) Transformer using Mixture of Experts (MoE) Mamba - deep learning architecture Mixture of experts - deep learning technique...
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Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the...
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Mamba (deep learning), a deep learning architecture Mamba (website), a Russian social dating website Mamba (roller coaster), in Missouri, US Mamba (surname)...
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Q-learning algorithm. In 2014, Google DeepMind patented an application of Q-learning to deep learning, titled "deep reinforcement learning" or "deep Q-learning"...
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for training multilayer perceptrons (MLPs) by deep learning were already known. The first deep learning MLP was published by Alexey Grigorevich Ivakhnenko...
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Multimodal learning, in the context of machine learning, is a type of deep learning using multiple modalities of data, such as text, audio, or images....
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Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...
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original on 2019-07-10. Retrieved 2015-09-04. Yoshua Bengio (2009). Learning Deep Architectures for AI. Now Publishers Inc. pp. 1–3. ISBN 978-1-60198-294-0....
134 KB (14,693 words) - 09:27, 11 June 2024