Mamba is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University...
12 KB (1,254 words) - 10:13, 25 April 2024
A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention...
65 KB (8,139 words) - 00:09, 1 June 2024
billion Architecture: Hybrid Mamba (SSM) Transformer using Mixture of Experts (MoE) Mamba - deep learning architecture Mixture of experts - deep learning technique...
4 KB (328 words) - 02:46, 4 April 2024
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the...
27 KB (2,935 words) - 05:11, 23 March 2024
Q-learning algorithm. In 2014, Google DeepMind patented an application of Q-learning to deep learning, titled "deep reinforcement learning" or "deep Q-learning"...
29 KB (3,785 words) - 06:23, 6 April 2024
Mamba (deep learning), a deep learning architecture Mamba (website), a Russian social dating website Mamba (roller coaster), in Missouri, US Mamba (surname)...
1 KB (215 words) - 01:05, 13 January 2024
for training multilayer perceptrons (MLPs) by deep learning were already known. The first deep learning MLP was published by Alexey Grigorevich Ivakhnenko...
61 KB (6,432 words) - 07:45, 10 May 2024
Reinforcement learning is one of three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...
56 KB (6,584 words) - 15:33, 24 May 2024
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....
7 KB (1,697 words) - 14:24, 1 June 2024
modalities through the use of deep neural network architectures such as CNNs and transformers. Supervised feature learning is learning features from labeled data...
45 KB (5,077 words) - 18:25, 13 May 2024