University of Louisiana at Lafayette
Search results: 117
Write a concise and interesting paragraph here that explains what this course is about
- Teacher: Michael Totaro
Category: Informatics
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- Teacher: Katherine Eddings
Category: Environmental Science
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- Teacher: Steven Guillory
- Teacher: William Plummer
Category: Music
Rehearsal & Performance: UL Wind Ensemble.
Syllabus is same at Grad level as for 155 & 355.
Syllabus is same at Grad level as for 155 & 355.
- Teacher: William Hochkeppel
Category: Music

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- Teacher: Azamat Sakiev
Category: Political Science
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- Teacher: Manisha Guduri
Category: Informatics
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- Teacher: Jacob Authement
Category: Political Science
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- Teacher: David Hughes
Category: Political Science
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- Teacher: Ted Brown
Category: Political Science
- Teacher: Christoph Borst
- Teacher: Li Chen
- Teacher: Sheng Chen
- Teacher: Shuvalaxmi Dass
- Teacher: Frank Ducrest
- Teacher: Bhaskar Ghosh
- Teacher: Taylor Gossen
- Teacher: Shari Hinkel
- Teacher: MD Aminul Islam
- Teacher: Winona Istre
- Teacher: Miao Jin
- Teacher: Arun Kulshreshth
- Teacher: Ashok Kumar
- Teacher: Arun Lakhotia
- Teacher: Nicholas Lipari
- Teacher: Martin Margala
- Teacher: Robert Minvielle
- Teacher: Mohammadhassan Najafi
- Teacher: Anthony Triche
- Teacher: Nianfeng Tzeng
- Teacher: Beth Wilson
- Teacher: Andrew Wise
Category: Auto Enrolled Courses
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- Teacher: Robert DiFabio
Category: Physics
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- Teacher: Apoorva Ghosh
Category: Soci, Anth, Human Dev&Fam Sci
INFX 639 (x-listed with INFX 499) is an intensive introduction to artificial intelligence (AI) with emphasis on how to design and build intelligent applications. Google Colaboratory, along with packages such as Python, TensorFlow, PyTorch, and OpenAI gym, will be used to create powerful AI systems. Topics include: (1) the history of AI; (2) artificial neural networks (ANNs), machine learning (ML); (3) convolutional neural networks (CNNs); (4) recurrent neural networks (RNNs); (5) generative models, including variational autoencoders (VAEs), generative adversarial networks (GANs), and other generative models (e.g., Boltzmann Machines and Hidden Markov Models) to generate pictures and faces; (6) reinforcement learning (RL) algorithms; and (7) the design and implementation of a deep learning application (i.e., one of the following: deep learning for intelligent agents; or deep learning for game playing; or deep learning for finance; or deep learning for robotics).
- Teacher: Michael Totaro
Category: Informatics
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- Teacher: Bailey Ross
Category: Mathematics
This course has additional cost. Learn more at louisiana.edu/studentcashier/tuition-fees/current-tuition-fees/online-hybrid-programs.
- Teacher: Camille Bulliard
Category: Performing Arts
- Teacher: Nichole Stanford
- Teacher: Elizabeth Sullivan
- Teacher: Nuzhat Tarannum
Category: Non-Academic Courses