Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
Published June 15, 2022
At a glance
Views
364,559
Likes
9,508
Comments
256
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
This course will give you an introduction to machine learning concepts and neural network implementation using Python and TensorFlow. Kylie Ying explains basic concepts, such as classification, regression, training/validation/test datasets, loss functions, neural networks, and model training. She then demonstrates how …
- Published
- June 15, 2022
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial is doing
It has 364K views in total. It ranks #8,096,864 among tracked YouTube videos by views.
Key facts about Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial
- Total views
- 364K
- Total likes
- 9.50K
- Total comments
- 256
- Published
- June 15, 2022
- Global rank by views
- #8,096,864
Frequently asked questions
How many views does Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial have?
Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial has 364,559 views, 9,508 likes and 256 comments, ranking #8,096,864 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.