Recent Exciting Things!

Feature Visualization

How neural networks build up their understanding of images

On Distill

Research Debt

On Distill


Neural Networks (General)


Neural Networks, Manifolds, and Topology

Deep Learning, NLP, and Representations

Calculus on Computational Graphs: Backpropagation

Neural Networks, Types, and Functional Programming


Recurrent Neural Networks


Understanding LSTM Networks

Attention and Augmented Recurrent Neural Networks

On Distill


Convolutional Neural Networks


Conv Nets

A Modular Perspective

Understanding Convolutions

Groups & Group Convolutions

Deconvolution and Checkerboard Artifacts

On Distill


Visualizing Neural Networks


Visualizing MNIST

An Exploration of Dimensionality Reduction

Visualizing Representations

Deep Learning and Human Beings

Inceptionism

Going Deeper into Neural Networks

On the Google Research Blog

Four Experiments in Handwriting with a Neural Network

On Distill

Feature Visualization

How neural networks build up their understanding of images

On Distill


Miscellaneous


Fanfiction, Graphs, and PageRank

Data.List Recursion Illustrated

Visual Information Theory


Non-Technical Commentary

Research Debt

On Distill


Traditional Papers


Document embedding with paragraph vectors

On ArXiv [PDF]

TensorFlow: Large-scale machine learning on heterogeneous systems

On TensorFlow.org [PDF]

Concrete Problems in
AI Safety

On ArXiv [PDF]

Conditional Image Synthesis with Auxiliary Classifier GANs

On ArXiv [PDF]

Changing Model Behavior at Test-Time Using Reinforcement Learning

On ArXiv [PDF]