Sep 27, 2022  
2021-2022 Cal State East Bay Catalog 
    
2021-2022 Cal State East Bay Catalog [ARCHIVED CATALOG]

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STAT 654 - Introduction to Applied Deep Learning


Units: 2
Introduction to neural networks and deep neural networks, training a prediction model, avoiding over-fitting, tuning. Prediction and classification problems. Using R packages or Python to connect to h20, tensorflow, keras. Report Writing.

Prerequisites: STAT 632.
Co-requisites:  

 
Possible Instructional Methods: Entirely On-ground.
Grading: ABC/NC grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

  1. Demonstrate knowledge of neural networks.
  2. Use deep learning models for prediction and classification.
  3. Effectively communicate results from the use of statistical packages in a discipline-appropriate manner.




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