The Evening of the MDLI Course — 1+2 Cycles

MDLI Course Final Evening – Second Cycle – Presentations

This is a project display presented a month ago on a special evening to mark the completion of a volunteer-course organized by Eran Paz, Gil Levi, Nir Ben-Zvi and Uri Eliabayev. The course was the same in its format for Stanford University’s CS231n: Convolutional Neural Networks for Visual Recognition course. During the course, the students were assisted by industry mentors and guided them throughout the work on the final project. At the end of the work, the students presented the projects through a special Demo-Day that organized by Google Campus.

This special evening featured eight interesting projects that summarized all the knowledge and practice the students have learned in recent months. Each project was unique and interesting, forcing students to “dirt your hands” and understand how it felt to work on a real, end-to-end project.

A big thank you to all the mentors who helped the students in the final projects. A special thank you to the entire Google team for providing a great envelope that helped the program succeed. A huge thank you to Naama Yanko from Google for taking care of the cloud credits for all students (and also the great additions while working on the finishing projects) and of course a personal thank you to the entire campus professional team who hosted us for four months each week and always were there for the students. Thanks again to Matan Friedmann, a first-year graduate, who joined as a practitioner and helped maintain the high level of students and of course a big thank you to all the students who persevered and worked hard to make this evening top-notch. A special thank you to all the guests from the industry who came to hear about the projects, ask questions and be impressed with the student investment.

PROJECT #01
Adjusting NAS training towards more efficient networks

PROJECT #02
DRIVE: Digital Retinal Images for Vessel Extraction

PROJECT #03
How we used transfer learning to improve the identification of meaningful findings
on chest x-ray

PROJECT #04
URBAN SCENES ADAPTION FOR AV

PROJECT #05
Speckles Deep Learning for Human Identification

PROJECT #06
Teach the pawn English

PROJECT #07
IoU Prediction for Tracking

PROJECT #08
Object tracking

MDLI Course Final Evening – First Cycle – Presentations

This is a project display presented than eight months ago on a special evening to mark the completion of a volunteer-course organized by Eran Paz, Gil Levi, Nir Ben-Zvi and Uri Eliabayev. The course was the same in its format for Stanford University’s CS231n: Convolutional Neural Networks for Visual Recognition course. During the course, the students were assisted by industry mentors and guided them throughout the work on the final project. At the end of the work, the students presented the projects through a special Demo-Day that organized by Google Campus.

This special evening featured seven interesting projects that summarized all the knowledge and practice the students have learned in recent months. Each project was unique and interesting, forcing students to “dirt your hands” and understand how it felt to work on a real, end-to-end project.

A big thank you to all the mentors who helped the students in the final projects. A special thank you to the entire Google team for providing a great envelope that helped the program succeed. A huge thank you to Naama Yanko from Google for taking care of the cloud credits for all students (and also the great additions while working on the finishing projects) and of course a personal thank you to the entire campus professional team who hosted us for four months each week and always were there for the students: Michal Waltner Levi, Shirli Zilka, Marta Mozes, Sarit Amar and Dikla Matias. Thanks to Ilan Kadar of Nexar who not only provided mentorship for two teams, but also gave the two outstanding students the opportunity to receive an initiation at Berkeley University by Professor Traveller Drael and even an opportunity to join Naxer and of course a big thank you to all the students who persevered and worked hard to make this evening top-notch. A special thank you to all the guests from the industry who came to hear about the projects, ask questions and be impressed with the student investment.

PROJECT #01
End-to-End Learning of Driving Models

PROJECT #02
Redesigning Pytorch\Faster-RCNN

PROJECT #03
Jpeg-compression Artifacts Removal With Cnn

PROJECT #04
Lipreading

PROJECT #05
Fast Obstacle Detection

PROJECT #06
2018 Data Science Bowl nucleus segmentation

PROJECT #07
Multiverse Network

Credits: MDLI COMMUNITY