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Deep Learning with R
Deep Learning with R
  • Syllabus
  • Schedule
  • Readings
  • Assignments
  • Classes
Class details
Class sessions
  • Section 1: Fundamentals of Deep Learning I
  • Section 2: Fundamentals of Deep Learning II
  • Section 3: Data representations for neural network, Keras, Tensorflow
  • Section 4: Deep dive into Keras
  • Section 5: Convolutional Neural Network
  • Section 6: Deep Learning for Time Series
  • Section 7: Deep Learning for Text
  • Section 8: Generative Deep Learning
  • Section 9: Best practices and summary

Section 1: Fundamentals of Deep Learning I

Materials from class on Monday, January 13, 2025

Slides

AI, Machine Learning, Deep Learning concepts

Lecture slides in HTML format

Brief History of Machine Learning

Lecture slides in HTML format

Last updated on March 17, 2025

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BIOS 691: Deep Learning with R (Spring 2025)
Virginia Commonwealth University    Biostatistics Graduate Program

Mikhail Dozmorov, Ph.D.    mdozmorov@vcu.edu

Monday, Wednesday    1:00pm – 2:20pm
In person, 305

All content licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Content 2025 MGD

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