Keras to Akida CNN Converter

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brainchip from gravatar.com brainchip

Unverified details

These details have not been verified by PyPI
Project links
Meta

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brainchip from gravatar.com brainchip

Unverified details

These details have not been verified by PyPI
Project links
Meta

Release history Release notifications | RSS feed

2.10.0

2.9.0

2.8.1

2.8.0

2.7.2

2.7.0

2.6.0

2.5.2

2.5.1

2.5.0

2.4.0

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.6

2.2.5

2.2.4

2.2.3

This version

2.2.2

2.2.1

2.2.0

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.13

1.8.12

1.8.11

1.8.10

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.4

1.6.3

1.6.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cnn2snn-2.2.2.tar.gz (44.6 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page