kk7nc/RMDL
A deep learning library that ensembles DNN, CNN, and RNN models for classification across text, images, and video data.
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RMDL (Random Multimodel Deep Learning) is an ensemble deep learning approach for classification that combines three model types: a Deep Neural Network (DNN), a Convolutional Neural Network (CNN), and a Recurrent Neural Network (RNN). The library automatically optimizes model architecture to improve robustness and accuracy across different data modalities including text, images, and video. Built on TensorFlow and Keras, it provides a unified interface for training and evaluating multi-model ensembles.
Frequently asked
- What is kk7nc/RMDL?
- A deep learning library that ensembles DNN, CNN, and RNN models for classification across text, images, and video data.
- Is RMDL open source?
- Yes — kk7nc/RMDL is open source, released under the GPL-3.0 license.
- What language is RMDL written in?
- kk7nc/RMDL is primarily written in Python.
- How popular is RMDL?
- kk7nc/RMDL has 427 stars on GitHub.
- Where can I find RMDL?
- kk7nc/RMDL is on GitHub at https://github.com/kk7nc/RMDL.