Ways of enhancing/ reducing the exploding gradient in recurrent networks?

ways of reducing exploding gradients during training.

09 October 2015 4,964 0 View

Has recurrent neural networks ever been implemented on hadoop?

analysis on computational complexity with big data

09 October 2015 4,386 1 View

What is the most Operating System (OS) which can be INSTALL on Tiny hard devices like Raspberry Pi (RPi) hardware ?

I'm targeting to deploy a mesh network and manually configure MANET routing protocols. I'm preparing scenarios, architectures, and hard devices needed to do that. Are there some step-by-step...

03 March 2021 1,931 5 View

Is there a powerful system for the security of the systems distributed on IoT systems?

Is there a powerful system for the security of the systems distributed on IoT systems?

02 March 2021 3,858 10 View

How to choose ANN number of hidden layers and nodes?

Hello, Could you please share any interesting research explaining how to choose the number of hidden layers and nodes per layer in case of regression problems using ANN? Thank you, any help would...

01 March 2021 6,200 3 View

Unknown debris sheets observed in cell culture flasks?

Hi, We culture neural progenitor cells in T175 culture flasks coated with PLO-Laminin. We have successfully grown these cells with our protocol for months. Recently, we observed large sheets...

25 February 2021 3,443 4 View

How to sample data to increase presence of solar panels in the images?

I am working on creating deep neural network on geospatial dataset and wanted to know how to do the sampling so that I can increase the presence of solar panels in the images. I cannot use entire...

25 February 2021 3,936 6 View

Satellite orbit estimation using Recurrent Neural Network - what should I use?

Hello, I am a master's student studying in Yonsei Univeristy, Korea. I am trying to estimate the state of satellite, using Neural Network. Below is a simple flow of my study. 1. Train (t0 ~ t1)...

23 February 2021 6,383 3 View

Any methods to train a neural network with random (stochastic) and non-measurable variable?

Dear scholars, I was wondering if there are any scientific methods to train a neural network or ANFIS when one of the input variables is stochastic (random) and more importantly non-measurable?...

17 February 2021 1,909 3 View

Does anyone know what are the pros and cons for using autoencoders instead of CNNs for features extraction in neural networks?

Are there papers that talk about the possible advantages and disadvantages of using autoencoders instead of CNNs for feature extraction in neural network?

15 February 2021 6,952 3 View

What are the popular techniques for pre-processing measurement data in Smart Grid/Power System?

The data collected from various measurement devices often contains erroneous values - such as noise, missing values, etc. What are the popular techniques for pre-processing measurement data in...

14 February 2021 4,642 2 View

What are backpropagation formulas for residual neural networks?

14 February 2021 4,194 3 View