Thushan, FYI http://yosinski.com/deepvis (not asking to do this)
On Wed, May 27, 2015 at 10:07 AM, Nirmal Fernando <nir...@wso2.com> wrote: > Thanks Thushan ! > > [Looping Upul] > > On Wed, May 27, 2015 at 7:12 AM, Thushan Ganegedara <thu...@gmail.com> > wrote: > >> Dear all, >> >> Please find the minutes of the 1st meeting on integrating DL for WSO2ML >> >> There are 2 potential java libraries that can be used for deep learning >> (Recommended in DeepLearning.net) >> >> - DL4J (http://deeplearning4j.org/) >> - https://github.com/ivan-vasilev/neuralnetworks >> >> >> However, it was decided to stay with *DL4J* as it has shown to be the >> most promising in terms of the requirements to be satisfied. >> >> Furthermore, the initial focus will be on implementing a *Deep >> Autoencoder (DA)* (A variation of Deep Networks). Deep Autoencoder is >> essentially a stack of Multi-Layer Perceptrons with greedy layer-wise >> pre-training and fine-tuning by backpropagation. >> >> Deep Autoencoder was chosen based on following reasons >> >> - Simplicity (Compared to other networks such as Convolutional >> Networks, Stacked Restricted Boltzmann Machines) >> - High Accuracy (DAs has have shown promising results for various >> datasets. MNIST - 99.0%+ accuracy) >> - Easy to generalize. DA can be easily generalized for text, images, >> etc. >> >> >> After the implementation of DA, the possibility of introducing different >> techniques *(Denoising, Drop-out, Sparcity) *will be investigated. >> >> >> Thank you >> >> -- >> Regards, >> >> Thushan Ganegedara >> School of IT >> University of Sydney, Australia >> > > > > -- > > Thanks & regards, > Nirmal > > Associate Technical Lead - Data Technologies Team, WSO2 Inc. > Mobile: +94715779733 > Blog: http://nirmalfdo.blogspot.com/ > > > -- ============================ Blog: http://srinathsview.blogspot.com twitter:@srinath_perera Site: http://people.apache.org/~hemapani/ Photos: http://www.flickr.com/photos/hemapani/ Phone: 0772360902
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