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Implementation of a Multimodal Deep Boltzmann Machine with Tensorflow.

This is a project realized in the course of Probabilistic Graphical Model, Object Recognition and Computer Vision.

The goal is to implement a Multi-DBM model with Tensorflow. This is inspired from the paper of Nitish Srivastava et al appeared at NIPS2012.

The code is built on the top of the Deep-Learning-Tensorflow

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Implementation of a Multimodal Deep Boltzmann Machine with Tensorflow.

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  • Python 86.2%
  • Jupyter Notebook 13.8%