Around The Blogs In 78 Hours

Yes, this is an issue and the blogs are helping seeing through some of it:

Major recurring theme of deep learning twitter is how even those 100% dedicated to the field can't keep up with progress. https://t.co/9MzFQFuHyT

— tarantula web (@beaucronin) 22 mars 2017

Jort and his team have released Audioset

Thomas

• Magni 1.7.0 Released

Bob

• Benchmarking “music generation systems”?

Muthu

• Extreme Streaming

Laurent

• Co-simulation, state-of-the-art by Claudio Gomes
• BARCHAN: Blob Alignment for Robust CHromatographic ANalysis (GCxGC)
• Signal and image classification with invariant descriptors (scattering transforms): Internship

Sanjeev

• Generative Adversarial Networks (GANs), Some Open Questions
• Back-propagation, an introduction

Mitya

• The search for biologically plausible neural computation: The conventional approach

Felix

• Notes on “Deformable Convolutional Networks”
• Speed/accuracy trade-offs for modern convolutional object detectors
• Deep Nets Don’t Learn via Memorization

Adrian

• Convolution neural networks, Part 3
• Convolution neural nets, Part 2
• Convolutional neural networks, Part 1
• Recurrent Neural Network models

Ferenc

• Comment on "Overcoming catastrophic forgetting in NNs": Are multiple penalties needed?

Francois 

• Running Jupyter notebooks on GPU on AWS: a starter guide Francois
• Introducing Keras 2
• Building powerful image classification models using very little data
• Building Autoencoders in Keras
• Keras as a simplified interface to TensorFlow: tutorial

Thibaut

• How we made TensorFlow run on a Raspberry Pi using Rust

Terry

• Yves Meyer wins the 2017 Abel Prize

Here is an 'old' blog entry from Dustin on some of Yves' work in compressed sensing

• A variant on the compressed sensing of Yves Meyer

Dustin

• A polynomial-time relaxation of the Gromov-Hausdorff distance

Vladimir

• Eric Fossum Founds Gigajot Startup

Sebastien

• New journal: Mathematical Statistics and Learning
• STOC 2017 accepted papers
• Geometry of linearized neural networks

Otoro/Hardmaru

• Recurrent Neural Network Tutorial for Artists

Andrew

• Deep Learning without Backpropagation Tutorial: DeepMind's Synthetic Gradients
• Building Safe A.I., A Tutorial for Encrypted Deep Learning
• Tutorial: Deep Learning in PyTorch, An Unofficial Startup Guide.
• Grokking Deep Learning: Anyone Can Learn to Code and Understand Deep Learning
• How to Code and Understand DeepMind's Neural Stack Machine:Learning to Transduce with Unbounded Memory

Zac

• Notes on Representation Learning

This image was taken by Front Hazcam: Right B (FHAZ_RIGHT_B) onboard NASA's Mars rover Curiosity on Sol 1644 (2017-03-22 09:54:03 UTC). Image Credit: NASA/JPL-Caltech Full Resolution

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