keras2cpp
keras2c
| keras2cpp | keras2c | |
|---|---|---|
| 3 | 1 | |
| 675 | 77 | |
| - | - | |
| 10.0 | 0.0 | |
| about 4 years ago | 8 months ago | |
| C++ | C | |
| MIT License | GNU Lesser General Public License v3.0 only |
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keras2cpp
- Way to convert keras based model to C++.
- Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD. r/circuitpython - Handwritten digit recognition using CircuitPython, Raspberry Pi Pico, OV7670 and 120x160 TFT LCD.
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Deep learning classification with C++
what about start with keras and convert model to c++ ? https://github.com/pplonski/keras2cpp https://github.com/serizba/cppflow
keras2c
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Way to convert keras based model to C++.
Mainly keras and other basic libraries I guess , as I don't have the python file. Along with that I have also tried Keras2C which is working fine but now they want in C++.
What are some alternatives?
cppflow - Run TensorFlow models in C++ without installation and without Bazel
frugally-deep - A lightweight header-only library for using Keras (TensorFlow) models in C++.
keras-onnx - Convert tf.keras/Keras models to ONNX
clear_net - A framework for the creation and training of vanilla and convolutional neural nets only depending on a C compiler and standard library
balancio-kit - Balacio-Kit: Robot de autobalanceo de ultra bajo costo, capaz de correr una red neuronal para mantener el equibrio y de ser controlado remotamente de manera inalámbrica
keras2cpp - it's a small library for running trained Keras 2 models from a native C++ code.
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.