Deep Learning with PyTorch

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Course Overview

This PyTorch training course is designed for students familiar with the basics of data science and machine learning who want to learn how to use Facebook’s PyTorch library for deep learning and neural network based applications. PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks for Python. Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.

Private classes on this topic are available. We can address your organization’s issues, time constraints, and save you money, too. Contact us to find out how.

This course includes 6-months access to the full course content in on-demand format to support post-class reference and review.

Who Should Attend

Intermediate to experienced Python developers or experienced developers coming from another programming language.

Course Objectives

    • Learn how to use NumPy to format data into arrays
    • Use pandas for data manipulation and cleaning
    • Learn classic machine learning theory principals
    • Use PyTorch Deep Learning Library for image classification
    • Use PyTorch with Recurrent Neural Networks for Sequence Time Series Data
    • Create state of the art Deep Learning models to work with tabular data

Course Outline

NumPy

Pandas

Machine Learning Theory

Test/Train/Validation Data Splits

Model Evaluation – Regression and Classification Tasks

Unsupervised Learning Tasks

Tensors with PyTorch

Neural Network Theory

  • Perceptrons
  • Networks
  • Activation Functions
  • Cost/Loss Functions
  • Backpropagation

Gradients

Artificial Neural Networks

Convolutional Neural Networks

Recurrent Neural Networks

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Class Dates & Times

Class times are listed Eastern time

This is a 3-day class

Class dates not listed.
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The classes listed are available to all United Training customers and does not reflect, in any way,
the availability or support of technology within the University of Maine System.