Deep Learning with PyTorch
9:00am - 5:00pm
What you'll learn, and how you can apply it
- PyTorch's tensors and automatic differentiation package
- Building and training deep neural networks in PyTorch
- Different deep learning model architectures
This training is for you because...
Basic knowledge of the following topics:
- Matrices and linear algebra
- Modeling and machine learning
- Basic neural networks
Hardware and/or installation requirements:
- PyTorch tensors
- Automatic differentiation package
- Neural Networks
- Multilayer Perceptrons
- Network architectures,
- Convolutional Neural Network
About your instructor
Richard Ott is a data scientist in residence at the Data Incubator, where he gets to combine his interest in data with his love of teaching. Previously, he was a data scientist and software engineer at Verizon. Rich holds a PhD in particle physics from the Massachusetts Institute of Technology, which he followed with postdoctoral research at the University of California, Davis.
Get the Platinum pass or the Training pass to add this course to your package. Early Price ends July 26.
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