Sep 9–12, 2019
Deep learning with PyTorch (Day 2)
Location: 112
Secondary topics:
Deep Learning,
Deep Learning tools,
Machine Learning
Who is this presentation for?
- You're a developer or analyst with some machine learning and Python experience.
Level
IntermediateDescription
Outline
Day 1
- PyTorch tensors
- Automatic differentiation package
- Neural networks
- Multilayer perceptrons
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
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