Articles by Sigrid Keydana

Deep attractors: Where deep learning meets chaos

June 22, 2020 | 0 Comments

") training_loop(ds_train) } ``` After two hundred epochs, overall loss is at 2.67, with the MSE component at 1.8 and FNN at 0.09. Obtaining the attractor from the test set We use the test set to inspect the latent code: # A tibble: 6,242 x 10 V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 1 0.439 0.401 ...
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Easy PixelCNN with tfprobability

May 28, 2020 | 0 Comments

PixelCNN is a deep learning architecture - or bundle of architectures - designed to generate highly realistic-looking images. To use it, no reverse-engineering of arXiv papers or search for reference implementations is required: TensorFlow Probability ... [Read more...]

Hacking deep learning: model inversion attack by example

May 14, 2020 | 0 Comments

Compared to other applications, deep learning models might not seem too likely as victims of privacy attacks. However, methods exist to determine whether an entity was used in the training set (an adversarial attack called member inference), and techni... [Read more...]

Getting started with deep learning in R

September 11, 2018 | 0 Comments

There are good reasons to get into deep learning: Deep learning has been outperforming the respective “classical” techniques in areas like image recognition and natural language processing for a while now, and it has the potential to bring interesting insights even to the analysis of tabular data. For many R ...
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