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Deep Learning Using TensorFlow

Course Description

Deep Learning is a branch of Artificial Intelligence (AI) that is based on the architecture of Neural Networks. When the number of hidden layers in a neural network is extended, it becomes a ‘Deep Learning’ Neural Network. Applications of Deep Learning include object recognition in images, natural language processing, and human speech recognition. Deep Learning applications are found in virtually all industries including manufacturing, pharmaceuticals, medical, information security, etc. This course will start out by covering advanced concepts of Neural Networks and Deep Learning and will continue with how these concepts can be applied using TensorFlow, a Python-based low-level library. TensorFlow is a great ML tool and makes machine learning faster and easier. The procedure of installing TensorFlow and Keras will be explained before moving into more complex activities such as ML modeling methods testing (estimation and classification). The architecture of GPU (Graphics Processing Units) and TPU (Tensor Processing Units) will also be addressed. Prerequisite(s): I&C SCI X426.64 Introduction to Programming with Python AND I&C SCI X426.75 Tools and Techniques for Machine Learning.

Prerequisite(s): I&C SCI X426.64 Introduction to Programming with Python AND I&C SCI X426.75 Tools and Techniques for Machine Learning.

NOTE: This course has live sessions held via Zoom. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access the Zoom sessions for your course.

  • Details
  • $805
  • October 04, 2021 to November 28, 2021
  • Delivery Mode: Online
  • Reg#: 00382
  • ID/Units: I&C SCI X426.78  (2.50)
    ( Section 1 )
  • Quarter: FALL 2021

Instructor


Ash Pahwa, Ph.D., is an educator, entrepreneur, and technology visionary with over 25 years of industry experience. He is the founder of "A+ Web Services" www.apluswebservices.com which provides internet marketing and web analytics services. His expertise includes search engine optimization, web analytics, web programming, digital image processing, database management, digital video and data storage technologies. He developed cellAnalyst image analysis software for the Microsoft Windows/.NET platform. The "cellAnalyst" is also available as a web service. He developed iVision an image database management system for storage and retrieval of biomedical images based on metadata, annotation and content. iVision was developed under a research grant from National Institute of Health. He also taught a Digital Image Processing course at University of California, Irvine in winter of 2007. He earned his Ph.D. in Computer Science from the Illinois Institute of Technology in Chicago. He is listed in "Who's Who in the Frontiers of Science and Technology". His complete bio and CV is at www.ashpahwa.com.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

No textbook information is available for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START10/04/2021Monday------Online (Access Begins)---
OL-LEC10/11/2021Monday6:00 PM7:00 PMZoom---
OL-LEC10/18/2021Monday6:00 PM7:00 PMZoom---
OL-LEC10/25/2021Monday6:00 PM7:00 PMZoom---
OL-LEC11/01/2021Monday6:00 PM7:00 PMZoom---
OL-LEC11/08/2021Monday6:00 PM7:00 PMZoom---
OL-LEC11/15/2021Monday6:00 PM7:00 PMZoom---
OL-LEC11/22/2021Monday6:00 PM7:00 PMZoom---
END11/28/2021Sunday------Online (Access Ends)---