Keras to Akida CNN Converter
Project description
CNN2SNN toolkit
The Brainchip CNN2SNN toolkit provides a means to convert Convolutional Neural Networks (CNN) that were trained using Deep Learning methods to a low-latency and low-power Spiking Neural Network (SNN) for use with the Akida Runtime.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cnn2snn-2.5.2.tar.gz
(80.5 kB
view details)
File details
Details for the file cnn2snn-2.5.2.tar.gz.
File metadata
- Download URL: cnn2snn-2.5.2.tar.gz
- Upload date:
- Size: 80.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7a4ffc5d962b64b6f6023dae670e1f11137048b38eb415bd2b3601fc5e74c69b
|
|
| MD5 |
d8fdf996e0638eaa09e05d50072055ad
|
|
| BLAKE2b-256 |
fda97e77c763bf7dd7f7af23992dd1e0e68319a3b9af331ea802c35b9a40aca0
|