This is the first video about active learning that I watched and I don't even think that I need many more video's to figure out the "what's and how's" about active learning. Very informative, thank you!
for example there are images that are harder to classify than others. As soon as your system is good enough in classifying simple cases, you only want to add more difficult cases to your data set.
This is the first video about active learning that I watched and I don't even think that I need many more video's to figure out the "what's and how's" about active learning. Very informative, thank you!
Thank you so much, I appreciate it. Thanks go to Piyush, a former UMD student who put the slides together:
www.cse.iitk.ac.in/users/piyush/
You nailed it within the first minute of this video, what an active learning is 👌🏽
Glad to help!
The single most clear explanation of what active learning is. thanks for the video.
Really appreciate it!
Perfect! Thank you so much.
You are a legend! Thank you!
Thanks for the kind words!
Hey Jordan, this is awesome, Im taking notes. Do you have the slides hosted anywhere?
users.umiacs.umd.edu/~jbg/teaching/DATA_DIGGING/
thanks!
In "1:46 " you said about learning the "hard stuff", what do you mean by the "hard stuff" ??
for example there are images that are harder to classify than others. As soon as your system is good enough in classifying simple cases, you only want to add more difficult cases to your data set.
Very nice for we non native english speakers😀
Very nice !