About the Deep Learning Track

The MegaLeap Deep Learning Track is delivered in partnership with NVIDIA. This track is designed for people with some background in Machine Learning and are interested in advancing their skills.

Learning Objectives

In this course, 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.

By participating in this course:

• • 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.

Course Prerequisites:

An understanding of fundamental programming concepts in Python 3 such as functions, loops, dictionaries, and arrays.

A familiarity of Pandas datastructures.

An understanding of how to compute a regression line.