Deep Learning in action: automated customer analytics to reach #5 on Kaggle biggest competition so far (7200 teams globally) How to use deep learning to extract features from multi-dimensional time series customer data? A dominating approach is to use manual […]
The Joy of Cooking: The best recipes for DL on GPU What do you need to prepare a delicious meal? Some cooking experience, good quality ingredients, proper kitchenware and last but not least – proven recipes. Similarly with training deep […]
Uncertainty in neural networks How to be certain about uncertainty in machine learning? In my talk, I’d like to cover different types of uncertainties with short practical examples of how to detect and tackle them. We will go through the […]
Deep learning with only a few examples One of the biggest limitations of deep learning is its dependency on a large number of training examples to attain a satisfactory level of accuracy. Approaches like clever data augmentations and aggressive regularization […]
