MXNet.jl
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dmlc
MXNet Julia Package - flexible and efficient deep learning in Julia
It would be really useful if I could safely abort the fitting of a model with `ctrl-c`, when training on the gpu I have to kill the whole process using...
Hi, I would like to define a new layer similar to dropout, using random number generation. According to https://mxnet.readthedocs.org/en/latest/tutorial/new_op_howto.html it is currently possible to define layers using Python. Is it...
Is it possible to update a model fit one data point at a time? More importantly, in what capacity is real-time time series analysis supported? Most/all of the examples are...
The ``` _init_default ``` function doesn't exist in the Initializer. The call was made when initializer was called for _logisticregressionoutput0_label_ which I'm not sure should happen.
I could be wrong in this, but looking at the code for [sgd](https://github.com/dmlc/MXNet.jl/blob/master/src/optimizers/sgd.jl) and [adam](https://github.com/dmlc/MXNet.jl/blob/master/src/optimizers/adam.jl) it looks like there is dynamic function dispatch going on because the types for optimizer...
