From 3a9a07b9d841295839797c186203b4283db0f7e9 Mon Sep 17 00:00:00 2001 From: Joe Davison Date: Thu, 19 Oct 2017 10:39:58 -0600 Subject: [PATCH 1/2] add mxnet module extraction support resolves #85 --- keras/backend/mxnet_backend.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/keras/backend/mxnet_backend.py b/keras/backend/mxnet_backend.py index 206121bd7533..1a4beee2bcf6 100644 --- a/keras/backend/mxnet_backend.py +++ b/keras/backend/mxnet_backend.py @@ -80,6 +80,10 @@ def set_model(model): _MODEL = model +def get_mxnet_module(): + return _MODEL._mod + + def clear_session(): reset_uids() _EXECUTOR = None From 51e0decdf9321198d2acaede0bbe14af2ad20bca Mon Sep 17 00:00:00 2001 From: Joe Davison Date: Thu, 6 Sep 2018 13:11:40 -0400 Subject: [PATCH 2/2] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 0b2a72964513..e28d00d36481 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,8 @@ ## You have just found Keras. +asdflkjasldfkj + Keras is a high-level neural networks library, written in Python and capable of running on top of either [MXNet](https://github.com/apache/incubator-mxnet), [TensorFlow](https://github.com/tensorflow/tensorflow) or [Theano](https://github.com/Theano/Theano). It was developed with a focus on enabling fast experimentation. *Being able to go from idea to result with the least possible delay is key to doing good research.* Use Keras if you need a deep learning library that: