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STAT 703 - Deep Neural Networks for Statisticians

STAT 703: Deep Neural Networks for Statisticians (3 units) at San Diego State University. Not offered in Spring 2027. Prerequisites: STAT 610 with a grade of B- or better. Counts toward Statistics, Biostatistics Concentration, M.S. (2026-27), Statistics, M.S. (2026-27).

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3 units
  • Electives
Offered: Summer 2027 (not offered), Spring 2027 (unknown), Fall 2026 (unknown)

Counts toward

Fully-connected networks for regression and classification, convolutional neural networks, recurrent neural networks for data with spatial or sequence structure, neural networks for dimension reduction and latent space exploration, and gradient descent optimization. Training and evaluation of deep neural networks using Python and Tensorflow-Keras.
Prerequisites
STAT 610 with a grade of B- or better.
See the full prerequisite chain

From the catalog

Grading
LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC
Catalog notes
Experience with Python is not required, but familiarity with one other coding language is highly recommended (e.g., R, Matlab, C++, Java, etc.).

0 sections in Spring 2027

STAT 703 is not offered in Spring 2027. Check all STAT classes for other terms.