# \#mxnetjl

**URL:** https://discourse.julialang.org/tag/mxnetjl/45.md

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## [Mxnet strange BoundsError](https://discourse.julialang.org/t/mxnet-strange-boundserror/10807)

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**Author:** [@han-so1omon](https://discourse.julialang.org/u/han-so1omon)\
**Replies:** 0\
**Last updated:** [May 9, 2018, 11:31pm UTC](https://discourse.julialang.org/t/mxnet-strange-boundserror/10807 "2018-05-09T23:31:06Z")

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Training a network that outputs mxnet.NDArrays shape (27,1). I created a 3d array of labels of shape (27,1,210). Creation of data provider and subsequent training looks like the following: navDataIter = mx.ArrayDataPro…

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## [How to use to\_graphviz() in MXNet to view a network?](https://discourse.julialang.org/t/how-to-use-to-graphviz-in-mxnet-to-view-a-network/7086)

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**Author:** [@v-i-s-h](https://discourse.julialang.org/u/v-i-s-h)\
**Replies:** 0\
**Last updated:** [November 15, 2017, 1:03pm UTC](https://discourse.julialang.org/t/how-to-use-to-graphviz-in-mxnet-to-view-a-network/7086 "2017-11-15T13:03:15Z")

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I’m starting with MXNet and I would like to see the visualize the network I make. If I’m using IJulia, I can just call mx.to\_graphviz(my\_net) to visualize it on my jupyter notebook. But if I’m in REPl, how to do this? L…

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## [MXNet installation fails](https://discourse.julialang.org/t/mxnet-installation-fails/6920)

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**Author:** [@v-i-s-h](https://discourse.julialang.org/u/v-i-s-h)\
**Replies:** 1\
**Last updated:** [November 6, 2017, 11:33pm UTC](https://discourse.julialang.org/t/mxnet-installation-fails/6920 "2017-11-06T23:33:23Z")

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My attempt to install MXNet fails on Mac OSX 10.13 with the following error. I tried in both Mac OSX 10.13 and Ubuntu 16.04. julia\> versioninfo() Julia Version 0.6.0 Commit 903644385b (2017-06-19 13:05 UTC) Platform Inf…

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## [MXNet.jl - weighted classes in SoftmaxOutput](https://discourse.julialang.org/t/mxnet-jl-weighted-classes-in-softmaxoutput/4925)

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**Author:** [@dilumaluthge](https://discourse.julialang.org/u/dilumaluthge)\
**Replies:** 0\
**Last updated:** [July 18, 2017, 12:15pm UTC](https://discourse.julialang.org/t/mxnet-jl-weighted-classes-in-softmaxoutput/4925 "2017-07-18T12:15:40Z")

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I’m using MXNet.jl to write a binary classifier for a problem with class imbalance. I’d like to weight the two classes unequally when calculating the loss (i.e. a false positive would be weighted differently than a false…

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## [Unable to understand char-lstm example in MXNET for Julia](https://discourse.julialang.org/t/unable-to-understand-char-lstm-example-in-mxnet-for-julia/2186)

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**Author:** [@kishoreabhishek](https://discourse.julialang.org/u/kishoreabhishek)\
**Replies:** 0\
**Last updated:** [February 20, 2017, 1:53pm UTC](https://discourse.julialang.org/t/unable-to-understand-char-lstm-example-in-mxnet-for-julia/2186 "2017-02-20T13:53:30Z")

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I am trying to understand the char lstm example mentioned here - https://github.com/dmlc/MXNet.jl/blob/master/examples/char-lstm/lstm.jl Function lstm\_cell accepts the second parameter as previous state - function lstm…

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## [Training LSTM in MXNet.jl with differing input and output?](https://discourse.julialang.org/t/training-lstm-in-mxnet-jl-with-differing-input-and-output/1707)

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**Author:** [@TravisA9](https://discourse.julialang.org/u/TravisA9)\
**Replies:** 2\
**Last updated:** [January 30, 2017, 4:49pm UTC](https://discourse.julialang.org/t/training-lstm-in-mxnet-jl-with-differing-input-and-output/1707 "2017-01-30T16:49:35Z")

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Sorry guys, I am new to this and don’t have good access to any courses or good books on the subject. My question could probably best be illustrated with a translator… the expected output would be quite different from the…

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## [Queries regarding Symbolic API in MXNet in Julia](https://discourse.julialang.org/t/queries-regarding-symbolic-api-in-mxnet-in-julia/1753)

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**Author:** [@kishoreabhishek](https://discourse.julialang.org/u/kishoreabhishek)\
**Replies:** 1\
**Last updated:** [January 29, 2017, 9:30am UTC](https://discourse.julialang.org/t/queries-regarding-symbolic-api-in-mxnet-in-julia/1753 "2017-01-29T09:30:40Z")

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I am struggling to understand the symbolic API nuances of MXNet in Julia. I saw an example in MXNet documentation which has the following line: act1 = mx.Activation(data = fc1, name=:relu1, act\_type=:relu) Why is act\_ty…