semvec/pypi-packages huggingface dataset:
cerebrum 0.1.81
Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data
License: MIT
Keywords: machine learining neural networks artifical intelligence long shor term memory audio video text captions real time

Cerebrum
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Cerebrum's purpose is getting continuous data inputs from different types of perceptions as
memory sequences that triggered according to predefined threshold values and creating a complex time
based relations between those memories by Crossmodal logic  and training multiple Long Short-Term
Memory Networks with this extracted data. Lastly creating outputs triggered by a stimuli, using
pre-trained Artificial Neural Networks.