| Course Title: Seminar in Statistics and Scientific Research: 'Introduction to Neural Networks' |
| Start Date: 01/21/2020 End Date: 05/05/2020 |
| Term: Spring Semester 2020 |
| Description: Neural networks are some of the most commonly used models in statistical and machine learning. They have been employed in applications ranging from image classification to time series prediction. In this course we will develop neural networks as statistical models that are closely related to multiple regression and logistic regression, and we will use tools from calculus and linear algebra to understand algorithms for parameter estimation. In applications, we will work with the Keras library in Python. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Evan Ray | eray@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/21/2020 - 05/05/2020 | Lecture | Monday, Wednesday and Friday | 11:00AM - 12:15PM | CLAP - Clapp Laboratory | 420 | Weekly |
| Requisite Courses | ||
| Prereq: MATH-203, MATH-211, and STAT-242. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 18 | Enrollment: 10 | Available: 8 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| Title: Deep Learning Author: Goodfellow, Ian, Yoshua Bengio, and Aaron Courville Copyright: Edition: Volume: ISBN: 9780262035613 Publisher: MIT Press |
Required | 80.00 |
| Title: Deep Learning with Python Author: Chollet, Francois Copyright: 2018 Edition: Volume: ISBN: 9781617294433 Publisher: Manning |
Required | 49.99 |
| Additional Book Comments |
| This is the complete book list for this class. |
| Copies are on order at Odyssey Bookshop |
| Instructor's comments about the book list: The book by Goodfellow et al. is available for free download from the authors' website at http://www.deeplearningbook.org/ |