Fundamentals of Deep Learning Lecture, 10am-12pm

Businesses worldwide are using artificial intelligence (AI) to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients. Retail businesses use it to offer personalized customer shopping experiences. Automakers use it to make personal vehicles, shared mobility, and delivery services safer and more efficient. Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software.

Lunch Break, 12pm-1pm

Fundamentals of Deep Learning Workshop, 1pm-4pm

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.

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 such as functions, loops, dictionaries, and arrays.

Tools, libraries, and frameworks

Tensorflow, Keras, Pandas, NumPy

Assessment type

Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy.

Certificate

Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements

Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud.

NVIDIA "Fundamentals of Deep Learning" Lecture and Workshop