Fundamentals of Deep Learning for CERN Summer Students

About

Abstract

In this workshop, you'll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You'll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You'll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.

Find more information on this workshop here

Learning Objectives

By participating in this workshop, you'll:

Learn the fundamental techniques and tools required to train a deep learning model

Gain experience with common deep learning data types and model architectures

Enhance datasets through data augmentation to improve model accuracy

Leverage transfer learning between models to achieve efficient results with less data and computation

Build confidence to take on your own project with a modern deep learning framework

Prerequisites

An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line.