Contact experts in Deep Learning to get answers
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Questions related to Deep Learning
I am currently writing an MSc project on how to secure health record using Blockchain Hyperledger Fabric and Ethereum. But it is really challenging because I am new to blockchain. I need to...
27 June 2020 3,819 6 View
I am looking into the application of deep learning algorithms in cognitive radio. I am looking for some standard datasets that can be used for training and testing of the developed algorithms. I...
22 June 2020 8,847 5 View
Dear all, Please, I would like to know if there is a function for the hydrological modeling of a small farm dam using the HEC-HMS software, if so, with which function can I do it please? I would...
20 June 2020 3,385 11 View
I need to know about the deep learning algorithms used in land cover classification and which one is best suited. Planning to use Sentinel-2 satellite images. I also want to know about GAN in...
16 June 2020 9,202 12 View
I am new to Machine Learning and I am currently doing research on speech emotion recognition using deep learning. I found out that recent literatures were using mostly CNN and there are only few...
12 June 2020 686 3 View
Could you please share your ideas about using deep learning for long-term forest management planning. Thank you all in advance.
09 June 2020 5,817 9 View
With advent of newer architectures in Deep Learning, accuracies achieved have been close to 100% in the domain of Optical Character Recognition of Numbers. But computational complexity is a...
09 June 2020 3,833 0 View
In AlphaGo Zero algorithm, the neural network returns a pair (p, v) consiting of a vector of move probabilities p and a scalar v indicating winning probability. The v is used for node evaluation...
07 June 2020 5,721 3 View
UDA(https://github.com/google-research/uda) could achieve good accuracy by only 20 training data on text classification. But I find it is hard to reproduce the result on my own dataset. So I...
06 June 2020 1,570 2 View
I need help, Iam looking for fast and free publication journals with sjr of Q1 or Q2 in deep learning , image processing or biomedical engineering.
05 June 2020 2,643 5 View
If I have enough low quality data from unsupervised methods or rule-based methods. Do you think removing the wrong data predicted by trained model is a simple but effective method?
03 June 2020 4,166 3 View
I am currently working on a database and I have tried various methods of machine learning and deep learning, all leads to poor classification/prediction. However, this might show that the two...
28 May 2020 7,999 7 View
As far as I can tell, neural networks have a fixed number of neurons in the input layer. If neural networks are used in a context like NLP, sentences or blocks of text of varying sizes are fed to...
27 May 2020 7,115 6 View
I'd like to see the output of every layer of DNN under OpenCV Python. So, I am asking you here to help me. If anyone knows a blog or something else explain how to show us outputs of layers,...
26 May 2020 297 9 View
Has transformers ( applied in NLP ) been applied to Computer Vision ?
26 May 2020 1,760 8 View
Toshiba/Canon uses mild, standard, strong and enhanced options in their iteration option panel. As told by their application specialist enhanced is not iteration but something else and three...
26 May 2020 5,125 0 View
Research in combining reinforcement learning with deep learning can lead to many applications like that in human vision. In this connection the two variants of deep learning; ConvNet and RNN can...
24 May 2020 4,310 3 View
Hello everyone, I have a dataset with corn yiel on county level in USA, with meteo data and vegetation indices, i tried several machine learning algorithms for the yield prediction, the best one...
24 May 2020 10,033 2 View
Supervised learning is the basis of deep learning. But, human and animal learning are unsupervised. In order to make deep learning more effective in human life we need to discover approaches using...
24 May 2020 1,092 9 View
Deep Learning models have been used to forecast stock market prices whit different presicion, but in fisheries science, I haven't found similar approaches for Méxican Fisheries. Any suggestion ?
23 May 2020 4,887 2 View
A am new to machine learning. I have developed an ANN model with 1 hidden layer, to predict sale forecast. As an assignment I have to prepare Deep Learning model for the same task. Deep model has...
22 May 2020 1,227 4 View
I am working on a project of Brain Tumors Segmentation using Deep learning. I have downloaded the datasets of BRAT 2015 and I want to load the dataset. I have been searching on google for a long...
22 May 2020 6,435 0 View
I am looking for datasets that contain multi-sensor (like accelerometer, strain gauge, etc.) data of Structural Health Monitoring(SHM) and were analyzed using machine learning or statistical...
17 May 2020 223 0 View
I am currently working on emotion recognition. I am looking for a dataset that contains labeled image files for emotion (i.e. happiness, sadness, etc). I've found several dataset but not exactly...
07 May 2020 9,767 7 View