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:
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ptcn-0.1.3.tar.gz
(3.4 kB
view details)
Built Distribution
ptcn-0.1.3-py3-none-any.whl
(4.2 kB
view details)
File details
Details for the file ptcn-0.1.3.tar.gz.
File metadata
- Download URL: ptcn-0.1.3.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.0.5 CPython/3.8.3 Linux/5.0.0-21-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1fa793942af4e6717a295b9fec3247d1a7d906df228070bfee0781e4bed5c281 |
|
| MD5 | d734b32d78595de5395c85a94c7f12b7 |
|
| BLAKE2b-256 | 138366c93403d04cdd6e4a88291eec19d78f0c3641ea906a4c53c5529df86583 |
File details
Details for the file ptcn-0.1.3-py3-none-any.whl.
File metadata
- Download URL: ptcn-0.1.3-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.0.5 CPython/3.8.3 Linux/5.0.0-21-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d1c489c2bab2cc40f09916f8af5e150f404d7044ca0525d989f902c951434cb7 |
|
| MD5 | 90077ccb1057439b9d19eef72c1c0bc0 |
|
| BLAKE2b-256 | d141ada861033b097d0538c11c080112f0ac66035669ff256a7249cb88ce298d |
