Hi ,
This is my weekly progress update of my project.
I have solved all the problems I have mentioned in the last email.I could
find a class BaseDatasetIterator which is in DL4J where we can find inbuilt
iterators for CurvesDataSetIterator, IrisDataSetIterator,
MnistDataSetIterator, MovingWindowBaseDataSetIterator,
RawMnistDataSetIterator .There is no iterator for CIFAR dataset yet.
I have gone through the whole documentation except Deeplearning4j on
Spark.The latest documentation is very understandable than the earlier
one.I have studied neural networks- Restricted Boltzmann Machines,
Convolutional Nets (ConvNets),
Long Short-Term Memory Units (LSTMs),
Denoising Autoencoders,
Recurrent Nets and LSTMs,
Multilayer Neural Nets,
Deep-Belief Network,
Deep AutoEncoder,
Stacked Denoising Autoencoders
I have run the example codes[1] and I have understood the implementations.I
have rerun the codes with modifying different parameter values like number
and size of the hidden layers, learning rate, momentum, weight
distribution and various types of regularization and checked the
performance.
I have implemented a convolution net[3] and trained it using LFW dataset[2]
and a Recurrent net[4].Still I have a problem in vectorizing CIFRA-10 data
set.
Currently I am researching about libraries to build drag & drop UI for
front end.
[1]dl4j-0.4-examples <https://github.com/deeplearning4j/dl4j-0.4-examples>
[2]LFW Face Dataset <http://vis-www.cs.umass.edu/lfw/>
[3]ConvolutionNetLFW
<https://github.com/Lakini/Deeplearning4Java/blob/master/src/main/java/org/deeplearning4j/examples/convolution/ConvolutionNetLFW.java>
[4]RecurrentNetworkExample
<https://github.com/Lakini/Deeplearning4Java/blob/master/src/main/java/org/deeplearning4j/examples/recurrent/basic/RecurrentNetworkExample.java>
Could you please guide me to do the next step of my project .
Thank you.
Sincerely,
*Lakini Senanayaka.*
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