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-0.0.1.tar.gz
(3.3 kB
view details)
Built Distribution
ptcn-0.0.1-py3-none-any.whl
(4.1 kB
view details)
File details
Details for the file ptcn-0.0.1.tar.gz.
File metadata
- Download URL: ptcn-0.0.1.tar.gz
- Upload date:
- Size: 3.3 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 | 883e976afa7013a6b4c701e8816cdf50fe2b83c1b941467565b69d4a7030f900 |
|
| MD5 | b53f667713a91c04806f981d665cd786 |
|
| BLAKE2b-256 | 47082a8c25e3a40ea4e8e5b5661a957b620514660c9e6db94853394142bdcfa4 |
File details
Details for the file ptcn-0.0.1-py3-none-any.whl.
File metadata
- Download URL: ptcn-0.0.1-py3-none-any.whl
- Upload date:
- Size: 4.1 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 | 760dc51ac2206a5b7a68f778a8e0282f1ae3f1e5d031afb8606405b45311a487 |
|
| MD5 | ee24292ece06a937dc893ec2fe7be0bb |
|
| BLAKE2b-256 | 162de1796eeb349fcdcc96cfed4578d161dcd248ba4e5ffdba8c6cf3d99c6131 |
