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Daily Archives: December 15, 2016
SWIFT confirms 1/5th of cyber attacks get through, steal money.
Cyber attacks targeting the global bank transfer system have succeeded in stealing funds since February’s heist of $81 million from the Bangladesh central bank as hackers have become more sophisticated in their tactics, according to a SWIFT official and a previously undisclosed letter the organization sent to banks worldwide.
Source: Exclusive: SWIFT confirms new cyber thefts, hacking tactics
Deconvolution and Checkerboard Artifacts — Distill
When we look very closely at images generated by neural networks, we often see a strange checkerboard pattern of artifacts. It’s more obvious in some cases than others, but a large fraction of recent models exhibit this behavior.
Mysteriously, the checkerboard pattern tends to be most prominent in images with strong colors. What’s going on? Do neural networks hate bright colors? The actual cause of these artifacts is actually remarkably simple, as is a method for avoiding them.
Source: Deconvolution and Checkerboard Artifacts — Distill
How to Use t-SNE Effectively — Distill
A popular method for exploring high-dimensional data is something called t-SNE, introduced by van der Maaten and Hinton in 2008. The technique has become widespread in the field of machine learning, since it has an almost magical ability to create compelling two-dimensonal “maps” from data with hundreds or even thousands of dimensions. Although impressive, these images can be tempting to misread. The purpose of this note is to prevent some common misreadings.
Source: How to Use t-SNE Effectively — Distill
Attention and Augmented Recurrent Neural Networks — Distill
Recurrent neural networks are one of the staples of deep learning, allowing neural networks to work with sequences of data like text, audio and video. They can be used to boil a sequence down into a high-level understanding, to annotate sequences, and even to generate new sequences from scratch!
Source: Attention and Augmented Recurrent Neural Networks — Distill
Deep Learning An MIT Press book
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
Source: Deep Learning
Neural networks and deep learning
Neural Networks and Deep Learning is a free online book. The book will teach you about:
Deep learning, a powerful set of techniques for learning in neural networks
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neural networks and deep learning.
Source: Neural networks and deep learning