I am frequently rerunning the same mxnet script while I try to iron out some bugs in a new script (and I am new to mxnet). Pretty often when I try to run my script I get an error that the GPU is ou...

There are many ways to save a model and its weights. It is confusing when there are so many ways and not any source where we can read and compare their properties. Some of the formats I know are:...

My configurations are: gpu: Nvidia GeForce MX450 with 2GB Graphics Card Cuda version: 10.1 MxNet Version: mxnet-cu101: 1.8.0 While trying to mxnet using import mxnet I am getting the following err...

I am using mxnet to train a 11-class image classifier. I am observing a weird behavior training accuracy was increasing slowly and went upto 39% and in next epoch it went down to 9% and then it sta...

Good afternoon. Recently I have encountered the problem with installing "mxnet" package. I have tried several variants of code, but neither of their actually installs this package. 1. cra...

I am trying to install the R package "mxnet". However, this package does not seem to be available on CRAN. I found similar posts on stackoveflow where similar problems were encountered: H...

What strategies and forms of parallelization are feasible and available for training and serving a neural network?: inside a machine across cores (e.g. GPU / TPU / CPU) across machines on a networ...

From a segmentation mask, I am trying to retrieve what labels are being represented in the mask. This is the image I am running through a semantic segmentation model in AWS Sagemaker. Code for...

I've recently downloaded all packages from PyPI. One interesting observation was that of the Top-15 of the biggest packages, all execept one are deep learning packages: mxnet: mxnet-cu90 (600 MB)...

My code is: import gluoncv as gcv net = gcv.model_zoo.get_model('ssd_512_mobilenet1.0_voc', pretrained=True) windowName = "ssdObject" cv2.namedWindow(windowName, cv2.WINDOW_NORMAL) cv2.resizeWin...

Can I see what are the available GPUs with mxnet? Is there something similar for TensorFlow's tf.test.gpu_device_name() in mxnet?

Since Adam Optimizer keeps an pair of running averages like mean/variance for the gradients, I wonder how it should properly handle weight decay. I have seen two ways of implementing it. Only upd...

TensorFlow Object Detection API prefers TFRecord file format. MXNet and Amazon Sagemaker seem to use RecordIO format. How are these two binary file formats different, or are they the same thing?

I get plenty of trouble when trying to install MXNet package in R I am using the 3.4.0 version of R and I am on windows 10 CPU intel i3, 64bits x64-based processor. I get prompted: install.packag...

mxnet package is not installing in r (on windows 10) when I follow the steps given in its documentation. install.packages("drat", repos="https://cran.rstudio.com") drat:::addRepo("dmlc") install.p...

Assume I have a Resnet34 pretained model in MXNet and I want to add to it the premade ROIPooling Layer included in the API: https://mxnet.incubator.apache.org/api/python/ndarray/ndarray.html#mxnet...

I can create a model using the pre-build high-level functions like FullyConnected. For example: X = mx.sym.Variable('data') P = mx.sym.FullyConnected(data = X, name = 'fc1', num_hidden = 2) In t...

I have 2 symbols in MXNet and would like to concatenate them. How can i do this: eg: a = [100,200], b = [300,400], Id like to get c = [100,200,300,400]

How do i find the actual numerical values held in an MXNet symbol. Suppose I have, x = mx.sym.Variable('x') y = mx.sym.Variable('y') z = x + y, if x = [100,200] and y=[300,400], I want to prin...

Does anybody know where can I find an example of LSTM via MXNet (R package)? The basic task is prediction of x[t + 1] value by x[1 ... t] sequence.

I am trying to build a 11 class image classifier with 13000 training images and 3000 validation images. I am using deep neural network which is being trained using mxnet. Training accuracy is incre...

I was wondering if anybody could advise on how to get peak performance out of tensorflow in a 4 GPU setting. As a test I created two of the same network (18 ish layer residual network with small f...