One of my biggest strengths is that I learn stuff really fast. And it's not because I'm really smart or whatever. It's the experience I got learning stuff on my own over the past 10+ years (not limited to intellectual things but also human languages - I speak 5 currently, body workout, etc.). I share some tips in this video! I'd love to hear what's your learning strategy? and what advice did resonate the most with you?
Thank you for the video. I just started doing PhD in CV and struggling to approach new mechanisms/architectures. Can't agree with you more on the opinion that papers not always the best way to accumulate understanding and knowledge. It would be very helpful if you can create github repo sharing your reading/watching list for CV topics (e.g., transformer, perceiver, etc.,). Great inspiration 🍀
Je l imaš neki savet kako ući u ove vode iz perspektive početnika? Konkretno imam želju da se usmerim ka computer vision-u. Imao sam na faksu do sada možda dva predmeta iz mašinskog učenja koja sam solidno savladao i sada treći kod koga je eto sreća u nesreći da je baš iz oblasti CV-a, ali nije kako treba, više se svodi na to da se koriste gotove stvari bez nekog dubljeg zalaženja u to kako to zaista radi. A po meni površno znanje je isto kao da ništa ni ne znaš, pa me je ova tvoja priča oko implementiranja stvari od nule baš inspirisala. Počeo sam da pratim Deep Learning specijalizaciju na korseri kako bih stekao znanje o neuralnim mrežama koje mi nedostaje, jer iako su ovi kursevi na fakultetu koje sam imao bili dobri i gde smo prošli klasične algoritme mašinskog ucenja, na kraju se neuralne mreže uvek nekako pretandrljaju pa sam tu ostajao uvek nekako kratak. Pa konkretno pitanje šta misliš o Deep Learning specijalizaciji, kuda posle nje i da li vredi investirati vreme u Machine Learning kurs Andrew Ng-a, jer sam dobar deo tih stvari prošao na faksu i krenuo sam bio da ga pratim, ali pošto se radi u Octave-u i Matlabu me je nacisto demotivisalo pa sam ga ostavio nekako sa strane, možda pogrešno ga smatrajući zastarelim upravo zbog toga što nije u pajtonu.
Hej! Baci pogled na ovaj video: ua-cam.com/video/7q_OJvQQ7vY/v-deo.html Njega sam napravio da odgovorim bas na takvo pitanje. Takodje imas u description-u svakog videa link ka mom Medium blogu tamo ces takodje naci korisne stvari za pocetnike. Srecno, cepaj samo.
Thanks a lot for your video. Would you be willing to share not just the link to Jay Alammar's blog but the whole OneNote document? That really looked like an awesome collection of references others could profit from as well ...
One of my biggest strengths is that I learn stuff really fast. And it's not because I'm really smart or whatever. It's the experience I got learning stuff on my own over the past 10+ years (not limited to intellectual things but also human languages - I speak 5 currently, body workout, etc.). I share some tips in this video!
I'd love to hear what's your learning strategy? and what advice did resonate the most with you?
I'm head of ML at an animation company. I'm going to share this with our engineers. Great post, very inspiring!
Glad to hear that! 🙏
Do you have some ML-vacancies in your team ?=)
this is a great video. always interesting to see other people's journey into ML, as I try to take that path as well.
Thanks! I agree I always love to hear other people's journeys as well.
You're the one, Who encouraged me to switch from tensorflow to pytorch 🤞
I am doing God's work hahahah
I LOVES THIS VIDEO!
Found it very helpful, thank you
You're welcome Aleksa!
Thank you for the video. I just started doing PhD in CV and struggling to approach new mechanisms/architectures. Can't agree with you more on the opinion that papers not always the best way to accumulate understanding and knowledge. It would be very helpful if you can create github repo sharing your reading/watching list for CV topics (e.g., transformer, perceiver, etc.,). Great inspiration 🍀
Je l imaš neki savet kako ući u ove vode iz perspektive početnika? Konkretno imam želju da se usmerim ka computer vision-u. Imao sam na faksu do sada možda dva predmeta iz mašinskog učenja koja sam solidno savladao i sada treći kod koga je eto sreća u nesreći da je baš iz oblasti CV-a, ali nije kako treba, više se svodi na to da se koriste gotove stvari bez nekog dubljeg zalaženja u to kako to zaista radi. A po meni površno znanje je isto kao da ništa ni ne znaš, pa me je ova tvoja priča oko implementiranja stvari od nule baš inspirisala. Počeo sam da pratim Deep Learning specijalizaciju na korseri kako bih stekao znanje o neuralnim mrežama koje mi nedostaje, jer iako su ovi kursevi na fakultetu koje sam imao bili dobri i gde smo prošli klasične algoritme mašinskog ucenja, na kraju se neuralne mreže uvek nekako pretandrljaju pa sam tu ostajao uvek nekako kratak. Pa konkretno pitanje šta misliš o Deep Learning specijalizaciji, kuda posle nje i da li vredi investirati vreme u Machine Learning kurs Andrew Ng-a, jer sam dobar deo tih stvari prošao na faksu i krenuo sam bio da ga pratim, ali pošto se radi u Octave-u i Matlabu me je nacisto demotivisalo pa sam ga ostavio nekako sa strane, možda pogrešno ga smatrajući zastarelim upravo zbog toga što nije u pajtonu.
Hej! Baci pogled na ovaj video:
ua-cam.com/video/7q_OJvQQ7vY/v-deo.html
Njega sam napravio da odgovorim bas na takvo pitanje. Takodje imas u description-u svakog videa link ka mom Medium blogu tamo ces takodje naci korisne stvari za pocetnike. Srecno, cepaj samo.
@@TheAIEpiphany Hvala najlepše!
Thanks a lot for your video. Would you be willing to share not just the link to Jay Alammar's blog but the whole OneNote document? That really looked like an awesome collection of references others could profit from as well ...
Hi Reinhold! Thanks! Sure I'd love to do that, what would be the most convinient way to share the ON document?
@@TheAIEpiphany Hi Aleksa, I sent a message to your GMail concerning this. Maybe you coukd just reply to that?
@@TheAIEpiphany Hi Aleksa, I have also sent you an email to your Gmail. Can you export your note to PDF and upload it somewhere? Thank you very much
@@TheAIEpiphany Can you please upload the PDF of your OneNote and add a link in the description of this video?
@@konda8376 got so many requests I'm super sorry I didn't do it sooner! I'll upload it tomorrow
Great video!
Thanks!!
would u mind share onenote plz
It should be linked in the video description
Too many text, but almost no meaning