keras

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It would be beneficial to have a way to extract the underlying MXNet module, similar to how a user can call `K.get_session()` with the TensorFlow backend. The global `_MODEL` object...

joeddav

There is argument issue about Pooling layer(AveragePooling2D : border_mode)

2

I want to use keras.applications.inception_v3 model. After I load that model it, there is an error about pooling layer. Error Message :----> 1 InceptionV3(include_top=True,input_tensor=None, input_shape=None,weights=None) /pang/linetor/miniconda2/envs/py27/lib/python2.7/site-packages/keras/applications/inception_v3.pyc in InceptionV3(include_top, weights, input_tensor,...

linetor

OK, I'm looking at the mxnet_backend.py and especially on how gradients are calculated since I'm developing a custom optimizer. However K.gradients do not implement any kind of call to mx:...

namp

No matching distribution found for keras-mxnet

1

Hello. **No matching distribution found for keras-mxnet** ``` (pyenv1) keras heidi $ pip install mxnet==0.11.0 --user Collecting mxnet==0.11.0 Using cached mxnet-0.11.0-cp35-cp35m-macosx_10_12_x86_64.whl Requirement already satisfied: numpy in /Users/heidi/.pyenv/versions/3.5.2/envs/pyenv1/lib/python3.5/site-packages (from mxnet==0.11.0) Requirement...

Heidisnaps

HI, I installed keras with mxnet 0.11 and successfully run the mnist_mlp.py. Everything is OK. Now I want to use the xception module in \keras\applications and found the comments in...

ZhaoxiaZhang

No training speed improvement can be obtained by using multi-gpus with mxnet as the backend

4

Hi, I have some questions about the training speed when using multi-gpus with mxnet as the backend for keras. According to https://mxnet.incubator.apache.org/how_to/multi_devices.html, which said "By default, MXNet partitions a data...

Wendison

Multiple GPU issue

3

Hi, My model can run on a single GPU, but it failed on multiple GPU. Here is my code: x_train, y_train = batch_reader.get_batch() gpu_list = ["gpu(0)", "gpu(1)", "gpu(2)", "gpu(3)"] model_dist.compile(loss=losses.dist_loss_cls(C.max_radius),...

hnhuang

Topic classification model in keras with MXNet backend errors out - Too many slices such that some splits are empty

2

Running Reuters Topic Classification Model under keras/example for MXNet backend with 8 GPU errors out with following error: Error: Too many slices such that some splits are empty Code -...

sandeep-krishnamurthy

kevinthesun

Hello together, right now I try to use the Keras (MXNet) library as a model converter. If you can port an existing MXNet model to a Keras model then you...

Neiko2002