Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
Published April 18, 2019
At a glance
Views
305,783
Likes
6,501
Comments
239
Performance vs. channel
All-time outlier score
Engagement rate
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About
Ian Goodfellow is the author of the popular textbook on deep learning (simply titled "Deep Learning"). He invented Generative Adversarial Networks (GANs) and with his 2014 paper is responsible for launching the incredible growth of research on GANs. He got his BS and MS at Stanford, his PhD at University of Montreal wi…
- Published
- April 18, 2019
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19 is doing
It has 305K views in total. It ranks #8,565,946 among tracked YouTube videos by views.
Key facts about Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
- Total views
- 305K
- Total likes
- 6.50K
- Total comments
- 239
- Published
- April 18, 2019
- Global rank by views
- #8,565,946
Frequently asked questions
How many views does Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19 have?
Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19 has 305,783 views, 6,501 likes and 239 comments, ranking #8,565,946 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.