MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
Published January 16, 2017
At a glance
Views
1,244,289
Likes
15,859
Comments
661
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
First deep learning intro lecture of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. INFO: Slides: http://bit.ly/2HmL5ia Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Playlist: https://goo.gl/SLCb1y Links to individual lecture videos for the co…
- Published
- January 16, 2017
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars is doing
It has 1.24M views in total. It ranks #4,339,117 among tracked YouTube videos by views.
Key facts about MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
- Total views
- 1.24M
- Total likes
- 15.8K
- Total comments
- 661
- Published
- January 16, 2017
- Global rank by views
- #4,339,117
Frequently asked questions
How many views does MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars have?
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars has 1,244,289 views, 15,859 likes and 661 comments, ranking #4,339,117 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.