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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 3: Data representations for neural network, Keras, Tensorflow

Materials from class on Monday, January 27, 2025

Slides

Foundations of Deep learning, Mathematical definitions, Data representation

Lecture slides in HTML format

Lecture slides in HTML format

Lecture slides in HTML format

Introduction to Keras and Tensorflow

Tensor data types, Keras API, RMarkdown

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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