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IND 850

Practical Deep Learning

This course covers an introduction to deep learning, building foundations of neural networks and doing practical deep learning with AI Platform. Topics cover supervised and unsupervised machine learning as well as basics in neural networks, convolutional and recurrent neural networks. It focuses on building deep learning applications with AI Platform.
Weekly Contact: Lecture:3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

IND 840

Antirequisites

None

Co-Requisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.

Industrial Engineering

  • IND 108
    Data Analytics for Non-Data Analysts
  • IND 110
    Data Organization for Data Analysts
  • IND 119
    Introduction to Big Data
  • IND 123
    Data Analytics: Basic Methods
  • IND 300
    Introduction to Management
  • IND 303
    Work Measurement, Analysis and Design
  • IND 400
    Facilities Design
  • IND 405
    Introduction to Data Science and Analytics
  • IND 508
    Operations Research I
  • IND 600
    Systems Modeling and Simulation
  • IND 604
    Operations Research II
  • IND 605
    Experimental Design and Quality Assurance
  • IND 708
    Information Systems
  • IND 70A/B
    Industrial Systems Design
  • IND 710
    Production and Inventory Systems
  • IND 712
    Industrial Ergonomics
  • IND 713
    Project Management
  • IND 719
    Big Data Analytics Tools
  • IND 810
    Flexible Manufacturing Systems
  • IND 816
    Service Operations Management
  • IND 820
    Big Data Analytics Project
  • IND 830
    Python Programming Data Science
  • IND 832
    Reliability and Decision Analysis
  • IND 833
    Financial Engineering
  • IND 840
    Practical Approaches in Machine Learning
  • IND 850
    Practical Deep Learning
  • IND 860
    Advanced Data Analytics Project