Mamba is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University...

A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention...

billion Architecture: Hybrid Mamba (SSM) Transformer using Mixture of Experts (MoE) Mamba - deep learning architecture Mixture of experts - deep learning technique...

Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the...

Mamba (deep learning), a deep learning architecture Mamba (website), a Russian social dating website Mamba (roller coaster), in Missouri, US Mamba (surname)...

Q-learning algorithm. In 2014, Google DeepMind patented an application of Q-learning to deep learning, titled "deep reinforcement learning" or "deep Q-learning"...

Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...

for training multilayer perceptrons (MLPs) by deep learning were already known. The first deep learning MLP was published by Alexey Grigorevich Ivakhnenko...

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....

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....