Thanks Thushan ! [Looping Upul]
On Wed, May 27, 2015 at 7:12 AM, Thushan Ganegedara <[email protected]> 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/
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