The Conference for Machine Learning Innovation

Ilia Lorin

Ilia Lorin
Join the ML Revolution!
Until June 2
✓ Save up to 226€
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until June 2
✓ Save up to 226€
✓ Group discount
✓ Special discount for freelancers
Register Now
Thank you for attending!
Register Now
Thank you for attending!
Register Now
Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
Register Now

Ilia Lorin

MobiDev

I completed my master’s in computer engineering at NURE in Kharkiv, Ukraine where my strongbackground in software engineering inspired me to maximize output with as little computingpower as possible. I admire the opportunities that deep learning provides and I help make it allpossible using embedded devices. Deep learning performs tasks with increased quality andefficiency, and now we’re working harder than ever to make it an exceptionally fast experiencetoo. This is where MobiDev excels. I previously delivered my “Open Source Is Easy” speech at”GlobalLogic Kharkiv Embedded TechTalk.

This Speaker Dieser Speaker Take me to the current program of . Hier geht es zum aktuellen Programm von Munich Munich , Singapore Singapore or oder Berlin Berlin .

All talks by Ilia Lorin

No current talks available.

All talks by Ilia Lorin from other editions

-

Smaller, Faster, Cheaper: CNN Optimisation Techniques in Object Detection



All talks by Ilia Lorin

No current talks available.

All talks by Ilia Lorin from other editions

-

Smaller, Faster, Cheaper: CNN Optimisation Techniques in Object Detection



All talks by Ilia Lorin

No current talks available.

All talks by Ilia Lorin from other editions

-

Smaller, Faster, Cheaper: CNN Optimisation Techniques in Object Detection



All talks by Ilia Lorin

No current talks available.

All talks by Ilia Lorin from other editions

-

Smaller, Faster, Cheaper: CNN Optimisation Techniques in Object Detection



Behind the Tracks