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Distill

Growing Neural Cellular Automata A Gentle Introduction to Graph Neural Networks Understanding Convolutions on Graphs Distill Hiatus Adversarial Reprogramming of Neural Cellular Automata Weight Banding Branch Specialization Multimodal Neurons in Artificial Neural Networks Self-Organising Textures Visualizing Weights Curve Circuits High-Low Frequency Detectors Naturally Occurring Equivariance in Neural Networks Understanding RL Vision Communicating with Interactive Articles Thread: Differentiable Self-organizing Systems Self-classifying MNIST Digits Curve Detectors Exploring Bayesian Optimization An Overview of Early Vision in InceptionV1 Visualizing Neural Networks with the Grand Tour Thread: Circuits Zoom In: An Introduction to Circuits Visualizing the Impact of Feature Attribution Baselines Computing Receptive Fields of Convolutional Neural Networks The Paths Perspective on Value Learning A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features' A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Adversarial Example Researchers Need to Expand What is Meant by 'Robustness' A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Robust Feature Leakage A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Two Examples of Useful, Non-Robust Features A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Adversarially Robust Neural Style Transfer A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Adversarial Examples are Just Bugs, Too A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Learning from Incorrectly Labeled Data A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Discussion and Author Responses Open Questions about Generative Adversarial Networks A Visual Exploration of Gaussian Processes Visualizing memorization in RNNs Activation Atlas AI Safety Needs Social Scientists Distill Update 2018 Differentiable Image Parameterizations Feature-wise transformations The Building Blocks of Interpretability Using Artificial Intelligence to Augment Human Intelligence Sequence Modeling with CTC Feature Visualization Why Momentum Really Works Research Debt Deconvolution and Checkerboard Artifacts How to Use t-SNE Effectively Attention and Augmented Recurrent Neural Networks
Experiments in Handwriting with a Neural Network
2016-12-07 · via Distill
Several interactive visualizations of a generative model of handwriting. Some are fun, some are serious.