Keras to Akida CNN Converter

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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 Execution Engine (AEE).

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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

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

This version

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

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cnn2snn-1.8.10.tar.gz (28.4 kB view hashes)

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