blackarrow3542

Hi, I will work on that. I also added 'sigmoid' Activation layer for binary classification.

Hi, thanks for the fast reply! For example some model with merge layer like resnet and googlenet? https://github.com/fchollet/keras/blob/master/keras/applications/resnet50.py https://github.com/fchollet/keras/blob/master/keras/applications/inception_v3.py

@xdtl Hi, since keras2cpp doesn't support some neural network models, an alternative solution is to build Tensorflow with makefile to implement a Tensorflow model in an existing c++ project. https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/makefile

@xdtl Maybe you can try this? https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/cmake And then use TensorFlow with its c++ API https://www.tensorflow.org/api_docs/cc/.

jupyter中用notedown插件确实不错

> jupyter 的文件如果太大，在GitHub上加载的时候，容易失败。这个问题也要考虑一下。 不需要改成jupyter的文件。。。只是本地阅读MD的时候用jupyter notedown插件阅读MD。typora有些inline的公式显示不太好。 pip install notedown jupyter notebook --NotebookApp.contents_manager_class='notedown.NotedownContentsManager'

First, thanks for a great example of using TensorRT with Keras and TensorFlow! I have similar error with tftrt_resnet_example.py. I have to set self.y_tensor.shape[1] to 1000. I'm using TensorRT 4...

My guess is for INT8 I have to calibrate tftrt_graph and then use `tftrt.calib_graph_to_infer_graph(tftrt_graph)` to get the infer graph.