Comments (3)
I have no experience with ARM CPUs. Is M4F little endian or big endian? If it is big endian, model generated on x86 won't work, though the issue should be fixable. If it is little endian, data file should work with the CPU, in principle.
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I am currently aiming at nRF52832, which has a cortex M4F on board along with ble function. From what I found here (http://infocenter.nordicsemi.com/index.jsp?topic=%2Fcom.nordic.infocenter.nrf52832.ps.v1.1%2Fcpu.html), the last table showed that it implements little endian. Is this the correct info?
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@gcmike i am intersted in you WORK too , have you finished this work?
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Related Issues (20)
- Is quantization supported in Kann? HOT 1
- More examples (classify text) HOT 1
- Can KANN train an embedding layer?
- Support for batch normalisation HOT 1
- Batch processing of large dataset
- Feature request: model conversion utility. HOT 1
- Convolutional recurrent neural network
- mnist-cnn example fail assert on training
- kann_class_error() is broken for KANN_C_CEB HOT 3
- VAE error
- How to extract outputs from a hidden layer of autoencoder? HOT 4
- A time series data example for LSTM HOT 1
- Why accuracy does not increase anymore at specific epoch? HOT 4
- Getting Started example not working on macOS 11.3, Apple M1 chip
- Transfrom script for dataset
- Exporting weights? HOT 2
- Can we define the neuron number for each layer?
- resnet
- Image classification of cats, dogs, and pandas
- Custom loss function example using kad_op functions HOT 6
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