14–17 Oct 2019
Deep learning with PyTorch (Day 2)
Location: Westminster Suite
Secondary topics:
Deep Learning,
Deep Learning tools,
Machine Learning,
Machine Learning tools
Who is this presentation for?
- You're a developer or analyst with some machine learning and Python experience.
Level
IntermediateDescription
PyTorch is a machine learning library for Python that allows you to build deep neural networks with great flexibility. Its easy-to-use API and seamless use of GPUs make it a sought-after tool for deep learning. Join Rich Ott to get the knowledge you need to build deep learning models using real-world datasets and PyTorch.
Outline
Day 2
- Network architectures
- Convolutional neural network
- Autoencoders
Prerequisite knowledge
- A basic understanding of Python, matrices and linear algebra, modeling and machine learning, and neural networks
What you'll learn
- Understand PyTorch's tensors and automatic differentiation package
- Examine different deep learning model architectures
- Learn to build and train deep neural networks in PyTorch
Presented by
Elite Sponsors
Strategic Sponsor
Exabyte Sponsor
Impact Sponsor
Contact us
confreg@oreilly.com
For conference registration information and customer service
partners@oreilly.com
For more information on community discounts and trade opportunities with O’Reilly conferences
aisponsorships@oreilly.com
For information on exhibiting or sponsoring a conference
pr@oreilly.com
For media/analyst press inquires