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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 9: Best practices and summary

Materials from class on Wednesday, April 30, 2025

Best practices

Lecture slides in HTML format

Summary

Lecture slides in HTML format

References

  • MIT 6.S191: Introduction to Deep Learning
  • 3Blue1Brown
  • MachineLearning_notes

Last updated on April 30, 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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