Deep Learning

Deep Learning Research

Fog Detection using Deep Learning
Research activities of PhD Student Ernir Erlingsson under the umbrella of the DEEP-EST EU Project.

Morris Riedel Deep Learning

Interesting Deep Learning Links

http://www.fz-juelich.de/ias/jsc/EN/AboutUs/Organisation/FederatedSystemsandData/CrossSectionalTeamDeepLearning/_node.html
Page of the cross-sectional team deep learning of the Juelich Supercomputing Centre in Germany.

https://deeplearning4j.org/neuralnet-overview
Interesting introduction to Deep Neural Networks (Deep Learning) including use cases and choosing related networks.

Long-Short Term Memory (LSTM) Regularization Links

https://machinelearningmastery.com/use-weight-regularization-lstm-networks-time-series-forecasting/
Interesting short tutorial on how to use regularization with LSTM models that often overfit training data lowering predictive performance. It covers a Shampoo Sales dataset example, experimental test harness, bias weight and input weight regularization as well as recurrent weight regularization. The tutorial uses Python as well as Keras on top of Tensorflow or Theano.

https://keras.io/regularizers/
Listings of supported regularization approaches in Keras on top of Tensorflow or Theano.

Convolutional Neural Network (CNN) Architecture Links

https://blogs.nvidia.com/blog/2018/09/05/whats-the-difference-between-a-cnn-and-an-rnn/
Interesting discussion about CNNs and RNNs using Knight Rider as example.

Fully Convolutional Autoencoder Architecture Links

http://people.idsia.ch/~ciresan/data/icann2011.pdf
One approach to reduce the spatial Dimension and as such can be used as dimensionality reduction technique.

Related Work – Deep Learning in Medical Research and Healthcare

https://blogs.nvidia.com/blog/2019/01/29/deep-learning-heart-disease-diagnosis-echocardiograms/
Deep Learning in Heart Research using CNNs by a startup company that offers to deep learning-based Tools.