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

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This version

2.10.0

Oct 28, 2024

2.9.0

Sep 19, 2024

2.8.1

Sep 11, 2024

2.8.0

Jun 18, 2024

2.7.2

Apr 24, 2024

2.7.0

Feb 7, 2024

2.6.0

Nov 28, 2023

2.5.2

Oct 26, 2023

2.5.1

Oct 18, 2023

2.5.0

Sep 1, 2023

2.4.0

Jul 4, 2023

2.3.7

Jun 9, 2023

2.3.6

May 17, 2023

2.3.5

Apr 28, 2023

2.3.4

Apr 17, 2023

2.3.3

Apr 4, 2023

2.3.2

Mar 23, 2023

2.3.1

Mar 1, 2023

2.3.0

Feb 3, 2023

2.2.6

Dec 9, 2022

2.2.5

Nov 10, 2022

2.2.4

Oct 26, 2022

2.2.3

Aug 22, 2022

2.2.2

May 2, 2022

2.2.1

Mar 10, 2022

2.2.0

Mar 9, 2022

2.1.6

Feb 16, 2022

2.1.5

Feb 15, 2022

2.1.4

Feb 11, 2022

2.1.3

Jan 31, 2022

2.1.2

Jan 27, 2022

2.1.1

Jan 6, 2022

2.1.0

Jan 5, 2022

2.0.5

Nov 17, 2021

2.0.4

Oct 29, 2021

2.0.3

Oct 27, 2021

2.0.2

Oct 18, 2021

2.0.1

Oct 1, 2021

2.0.0

Sep 28, 2021

1.9.6

Jul 13, 2021

1.9.5

Jun 30, 2021

1.9.4

May 31, 2021

1.9.3

May 12, 2021

1.9.2

Apr 30, 2021

1.9.1

Apr 30, 2021

1.9.0

Apr 12, 2021

1.8.13

Mar 16, 2021

1.8.12

Mar 4, 2021

1.8.11

Jan 5, 2021

1.8.10

Nov 26, 2020

1.8.9

Oct 15, 2020

1.8.8

Sep 22, 2020

1.8.7

Aug 28, 2020

1.8.6

Jul 29, 2020

1.8.5

Jun 24, 2020

1.8.4

May 19, 2020

1.8.3

Apr 27, 2020

1.8.2

Apr 10, 2020

1.8.1

Mar 25, 2020

1.8.0

Mar 24, 2020

1.7.7

Mar 10, 2020

1.7.6

Mar 2, 2020

1.7.5

Feb 27, 2020

1.7.4

Feb 5, 2020

1.7.3

Jan 24, 2020

1.7.2

Jan 15, 2020

1.7.1

Dec 19, 2019

1.7.0

Dec 2, 2019

1.6.4

Nov 22, 2019

1.6.3

Nov 19, 2019

1.6.1

Nov 5, 2019

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