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**Project description**
Netron is a viewer/visualizer for neural network, deep learning and machine learning models. It supports ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, PyTorch, Tens…
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Platform: WinPython under Windows 10
Python version: Python 3.5.4 (v3.5.4:3f56838, Aug 8 2017, 02:17:05) [MSC v.1900 64 bit (AMD64)] on win32
1) I installed MMdnn with pip install mmdnn as inst…
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Platform: ubuntu 16.04
Python version: Python 3.6.5
Source framework with version: mxnet-cu90 1.3.1
Destination framework with version: Keras 2.1.5
Pre-trained model path:
[ResNet50V1d-s…
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Hello @rainLiuplus @JiahaoYao, after converting the ResNet50 of the MXnet model zoo to the Keras .h5 format, I have noticed that the accuracy after conversion is not good. I have tried the mxnet infer…
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Conda forge does not rely on `defaults` on Unix, but there are some ties on Windows. On this notebook I try to quantify those differences. After the `msys2` rebuild these are way less! I can rerun thi…
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Checked examples are tested to be working with MXNet backend
Not supported examples have clear error message specifying the exact functionality MXNet does not support yet
- [x] addition_rnn.py
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Keras-MXNet is slower on CPU.
See early benchmark results here - https://github.com/awslabs/keras-apache-mxnet/blob/master/benchmark/benchmark_result/RNN_result.md
This issue is likely due to:
1.…
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I was using latest keras with tensorflow with GPU. I installed mxnet in the following way:
pip install keras-mxnet
pip install mxnet-cu90
I changed "backend": "mxnet" in the keras config file.…
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I'm trying to convert a Keras model with some LSTM layers to an MXNet equivalent by running the command `mmconvert -sf keras -iw audio_model.h5 -df mxnet -om keras_to_mxnet_mmdnn.dnn
`; the python sc…
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Currently, users train the model with Keras-MXNet, save the model as MXNet model using save_mxnet_model() API and use MXNet engine for inference.
However, if we can support a new API - save_onnx_mo…