Modeling, Learning, and Decision-Making

2022 Fall
#31101
COMPSCI 182 101 - DIS 101 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Aug 24, 2022 - Dec 09, 2022
Tu
01:00 pm - 01:59 pm
Wheeler 224
Class #:31101
Units:4

Instruction Mode: In-Person Instruction

Open Seats

36 Unreserved Seats

COMPSCI 182 - DIS 101 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
2022 Fall
#30601
COMPSCI 182 999 - DIS 999 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Aug 24, 2022 - Dec 09, 2022
Th
12:00 am
Class #:30601
Units:4

Instruction Mode: In-Person Instruction

Open Seats

74 Unreserved Seats

COMPSCI 182 - DIS 999 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
2022 Fall
#30536
COMPSCI 182 001 - LEC 001 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Anant Sahai
Aug 24, 2022 - Dec 09, 2022
Tu, Th
09:30 am - 10:59 am
Soda 306
Class #:30536
Units:4

Instruction Mode: In-Person Instruction

Open Seats

73 Unreserved Seats

COMPSCI 182 - LEC 001 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#33937
COMPSCI 182 114 - DIS 114 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
Fr
01:00 pm - 01:59 pm
Dwinelle 219
Class #:33937
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

COMPSCI 182 - DIS 114 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#33936
COMPSCI 182 113 - DIS 113 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
Fr
03:00 pm - 03:59 pm
Dwinelle 209
Class #:33936
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

COMPSCI 182 - DIS 113 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#30834
COMPSCI 182 107 - DIS 107 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Jan 18, 2022 - May 06, 2022
We
12:00 pm - 12:59 pm
Wheeler 120
Class #:30834
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 Unreserved Seats

COMPSCI 182 - DIS 107 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#30380
COMPSCI 182 001 - LEC 001 offered through Electrical Engineering and Computer Sciences

Designing, Visualizing and Understanding Deep Neural Networks

Marvin M Zhang
Jan 18, 2022 - May 06, 2022
Mo, We
05:00 pm - 06:29 pm
Dwinelle 155
Class #:30380
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

Open Seats

COMPSCI 182 - LEC 001 Designing, Visualizing and Understanding Deep Neural Networks more detail
Deep Networks have revolutionized computer vision, language technology, robotics and control. They have growing impact in many other areas of science and engineering. They do not however, follow a closed or compact set of theoretical principles. In Yann Lecun's words they require "an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses." This course attempts to cover that ground.
Spring 2022
#32566
COMPSCI 189 26DS - DIS 26DS offered through Electrical Engineering and Computer Sciences

Introduction to Machine Learning

Jan 18, 2022 - May 06, 2022
Th
10:00 am - 10:59 am
Dwinelle 182
Class #:32566
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

COMPSCI 189 - DIS 26DS Introduction to Machine Learning more detail
Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.
Spring 2022
#32565
COMPSCI 189 25DS - DIS 25DS offered through Electrical Engineering and Computer Sciences

Introduction to Machine Learning

Jan 18, 2022 - May 06, 2022
Th
02:00 pm - 02:59 pm
Soda 405
Class #:32565
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

COMPSCI 189 - DIS 25DS Introduction to Machine Learning more detail
Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.
Spring 2022
#32563
COMPSCI 189 24DS - DIS 24DS offered through Electrical Engineering and Computer Sciences

Introduction to Machine Learning

Jan 18, 2022 - May 06, 2022
Th
01:00 pm - 01:59 pm
Soda 405
Class #:32563
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
COMPSCI 189 - DIS 24DS Introduction to Machine Learning more detail
Theoretical foundations, algorithms, methodologies, and applications for machine learning. Topics may include supervised methods for regression and classication (linear models, trees, neural networks, ensemble methods, instance-based methods); generative and discriminative probabilistic models; Bayesian parametric learning; density estimation and clustering; Bayesian networks; time series models; dimensionality reduction; programming projects covering a variety of real-world applications.
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