I think what he was suggesting about DNNs in that example was much more advanced than basic classification. With a shallow ML classifier, you can classify images into one of many well-defined categories. DNNs can do the same but with a couple of advantages: 1) depending on the type of data, a DNN can be much more accurate 2) DNNs can be trained to not only classify data, but describe it as well. Expanding on the second point, with a shallow classifier, you could bucket photos into ones that contain hotdogs and ones that don't. With a DNN, you could train the model to not only identify photos with hotdogs but also describe them with context (e.g. "a hotdog in a bun with mustard on top").
Dear Leo..thanks for the red heart = ) - I am researching about CV/ML& AI bcs. I have this little simple project idea that I beleive can help people struggling to make a livelihood day in day out and also donate funds to computer science research to help people with dyslexia, disgraphia, autisim, etc. I live in México and I would love to have some direction from someone expert in this field. Will that be possible that you can take a quick look of my project idea ? If possible, would you pls. email to mrosado.desart@gmail.com ? Thanks a lot Leo ! greetings from México City. =) Have a nice evening.
I have an M1 Macbook Pro. Different computer vision tasks may have different computational complexities. For some tasks, even a Raspberry Pi would be powerful enough. For others, you may need to use cloud GPUs.
Adobe Photoshop is a proprietary software that implements image processing operations. We don't know what they exactly use but you can get very close results with open source implementations in Python for many types of image processing operations.
Nicely described for beginners. Love to watch more videos on this.
Thanks man I was a lot confused before....thumbs up.
So useful video, this topic was a confusion for me but not anymore, thanks to you
I love this entire channel, thank you for sharing your knowledge
Nice brief up on Computer Vision! And nice haircut. lol
Thanks!
This kind of videos are must needed.. thank you
Thank you for video! Why 1:36 looks artificial, how you determine this?
At 2.28 what is advantage of using deep nn in classification as machine learning is enough for classification
I think what he was suggesting about DNNs in that example was much more advanced than basic classification. With a shallow ML classifier, you can classify images into one of many well-defined categories. DNNs can do the same but with a couple of advantages:
1) depending on the type of data, a DNN can be much more accurate
2) DNNs can be trained to not only classify data, but describe it as well.
Expanding on the second point, with a shallow classifier, you could bucket photos into ones that contain hotdogs and ones that don't. With a DNN, you could train the model to not only identify photos with hotdogs but also describe them with context (e.g. "a hotdog in a bun with mustard on top").
Very super bro👏👏👏
Great video for us not experts... indeed I like your haircut. You must a very good professor ... =)
Dear Leo..thanks for the red heart = ) - I am researching about CV/ML& AI bcs. I have this little simple project idea that I beleive can help people struggling to make a livelihood day in day out and also donate funds to computer science research to help people with dyslexia, disgraphia, autisim, etc. I live in México and I would love to have some direction from someone expert in this field. Will that be possible that you can take a quick look of my project idea ? If possible, would you pls. email to mrosado.desart@gmail.com ? Thanks a lot Leo ! greetings from México City. =) Have a nice evening.
what is your computer spesification?
when we want to do a computer vision projects, do we need to use a high end computer spesification to operate it?
I have an M1 Macbook Pro. Different computer vision tasks may have different computational complexities. For some tasks, even a Raspberry Pi would be powerful enough. For others, you may need to use cloud GPUs.
Oh my God
Oh my God
I finally found what I was looking for😻
Great video
Clearly Explained!
What is the difference between photoshop in Adobe and image processing with Python?
Adobe Photoshop is a proprietary software that implements image processing operations. We don't know what they exactly use but you can get very close results with open source implementations in Python for many types of image processing operations.
@@leoisikdogan thank you very much for the clarification.
Thanks Leo! I like this video a lot. :P
Thanks man good content it is
You're great!
You looks good with this short hair cut 👍👍
Thanks!
Good job
Thanks!
thanks alot
Very informative videos, thanks,
and yes, please keep the short haircut and the beard!
nice
cool
çok iyi
I miss your hair.