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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 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 A Discussion of A Discussion of A Discussion of A Discussion of
Self-classifying MNIST Digits
Ettore Randazzo · 2020-08-28 · via Distill
Training an end-to-end differentiable, self-organising cellular automata for classifying MNIST digits.