TF2 implementation of a Temporal Convolutional Network with a probabilistic twist
Project description
ptcn
Tensorflow (2.x) implementation of a Temporal Convolutional Network architecture, with a probabilistic twist.
This project indulges a couple of curiosities:
- Working with convolutional sequence-to-sequence models a la An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
- Adding a bayesian twist to the network a la Bayesian Segnet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
This implementation has been inspired by other projects, including:
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