Put AI to Work
April 15-18, 2019
New York, NY

Deep learning with PyTorch (Day 2)

Ana Hocevar (The Data Incubator)
Location: Madison

Who is this presentation for?

  • You're a developer or analyst with some machine learning and Python experience.

Level

Intermediate

Prerequisite knowledge

  • A basic understanding of Python, matrices, linear algebra, modeling, machine learning, and neural networks

What you'll learn

  • Explore PyTorch's tensors and automatic differentiation package
  • Learn how to build and train deep neural networks in PyTorch
  • Understand a variety of deep learning model architectures

Description

Outline

Day 1

  • PyTorch tensors
  • Automatic differentiation package
  • Neural networks
  • Multilayer perceptrons

Day 2

  • Network architectures,
  • Convolutional neural networks
  • Autoencoders
Photo of Ana Hocevar

Ana Hocevar

The Data Incubator

Ana Hocevar is a data scientist in residence at the Data Incubator, where she combines her love for coding and teaching. Ana has more than a decade of experience in physics and neuroscience research and over five years of teaching experience. Previously, she was a postdoctoral fellow at the Rockefeller University, where she worked on developing and implementing an underwater touch screen for dolphins. She holds a PhD in physics.