NITCAMP: Deep Learning Intro with Jelena Kocić

NIT Academy wants to present you with a new opportunity for training. We are organizing the very first LIVE NIT Bootcamp which is going to take place on 25th of February at NTP (Naučno-tehnološki Park) in Novi Sad.

Jelena Kocić PhD, a member of the Serbian AI Society and a Senior SW Dev/Team Lead at TTTech Auto will be your teacher for the day.

In the Deep Learning introductory NIT Bootcamp, participants will gain fundamental knowledge of general topics in:

• artificial intelligence
• machine learning
• and in more detail, deep learning techniques with a focus on computer vision.

The learning outcomes for the Bootcamp will be both theoretical basics and hands-on coding experience.

You will learn more about deep learning techniques that are behind AI practical examples, dataset preparation, data preprocessing, model design and selection, model training, inference, and about the metrics behind the model evaluation.

All examples will be done by participants within a live hands-on coding session. The exercises may include object recognition, object detection and tracking in the domain of autonomous driving and ADAS. Working sessions will be done in Python programming language and PyTorch machine learning framework using Jupyter Notebook or Google Colab collaborative tools.

The bootcamp costs 200 euros, for which you get hours of fun and education, lunch and a certificate of participation.

Due to a lot of interest and limited space, we would like to ask you to fill out our sign up form and reserve your place at this one-of-a-kind event.

Schedule:

L01 – Deep Learning Introduction

L02 – Intro to practical applications of deep learning, dataset manipulation, model design, training, and inference

L03 – Hands-on working environment preparation: collaborative tools and libraries

L04 – PyTorch introduction

L05 – Dataset exploration, data preprocessing, and model design

LUNCH

L06 – Model training, hyperparameter tuning

L07 – Model inference, model evaluation

L08 – Model testing on new, never seen data

L09 – Participants’ mini-presentation of their work

L10 – Conclusion and wrap-up

[Note: sessions L01, L02, L09, and L10 are theoretical, while L03-L08 are hands-on coding sessions.]