Feature Visualization & The OpenAI microscope

Channel:
Switzerland Yannic Kilcher
Subscribers:
284,000
Published on ● Video Link: https://www.youtube.com/watch?v=Ok44otx90D4


Duration: 20:51
9,172 views
322

A closer look at the OpenAI microscope, a database of visualizations of the inner workings of ImageNet classifiers, along with an explanation of how to obtain these visualizations.

https://distill.pub/2017/feature-visualization/
https://microscope.openai.com/models
https://github.com/tensorflow/lucid

Links:
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
BitChute: https://www.bitchute.com/channel/yannic-kilcher
Minds: https://www.minds.com/ykilcher



Other Videos By Yannic Kilcher


2020-04-27Do ImageNet Classifiers Generalize to ImageNet? (Paper Explained)
2020-04-26[Drama] Schmidhuber: Critique of Honda Prize for Dr. Hinton
2020-04-25How much memory does Longformer use?
2020-04-24Supervised Contrastive Learning
2020-04-23Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
2020-04-22[Rant] The Male Only History of Deep Learning
2020-04-21Gradient Surgery for Multi-Task Learning
2020-04-20Longformer: The Long-Document Transformer
2020-04-20Backpropagation and the brain
2020-04-18Shortcut Learning in Deep Neural Networks
2020-04-17Feature Visualization & The OpenAI microscope
2020-04-16Datasets for Data-Driven Reinforcement Learning
2020-04-15FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
2020-04-14Imputer: Sequence Modelling via Imputation and Dynamic Programming
2020-04-13The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
2020-04-12Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery
2020-04-11CURL: Contrastive Unsupervised Representations for Reinforcement Learning
2020-04-10Enhanced POET: Open-Ended RL through Unbounded Invention of Learning Challenges and their Solutions
2020-04-09Evolving Normalization-Activation Layers
2020-04-08[Drama] Who invented Contrast Sets?
2020-04-07Evaluating NLP Models via Contrast Sets


Tags:
deep learning
machine learning
imagenet
visualization
features
intermediate
hidden layers
activations
patterns
openai
google
interactive
explanation