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Deep Learning

 

Dates

June 2021

 

 

 About this course 

 

This course will focus on teaching the inner workings of deep neural networks and provide guidance on their application through practical examples using TensorFlow and Keras.

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-Course: Fundamentals of Machine Learning-Participants must be proficient in English and have achieved a grade of at least A2 on the free online test https://www.examenglish.com/leveltest/index.php-Laptop with at least 8 GB of RAM
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-The course consists of four online meetings, 3 hours each. During the sessions, the instructor will make presentations and demonstrations, and students will be asked to solve small practices during the class.

 Evaluation 

-Attendance is mandatory and any student who does not attend at least 90% of the meetings will fail the course automatically. All classes will be online. 

-The grade will be based on attendance and class participation (40%) and small practices (60%).

-A missed class can be made up if the student conducts a self-study of the material and presents a summary of it to the instructor.

 

 Course Materials 

 

We will use open-source tools only. Python 3.7.X. will be used with the modules TensorFlow and Keras, in addition to those used in the previous course.

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Class Schedule & Syllabus

DOWNLOAD SYLLABUS
JuanCarlos

DR. JUAN CARLOS ROJAS

Professor of Electrical and Computer Science Director, Electrical Exploration Lab

Dr. Juan Carlos Rojas has a master’s and a Ph.D. in electrical engineering from Northeastern University, and a master’s in engineering management from Stanford University. He has led research and development teams for multiple companies in Boston, Silicon Valley, and Costa Rica. Currently, he is an instructor of both electrical engineering and computer science at Texas Tech University-Costa Rica, where he leads the Electrical Exploration Laboratory. 

 

For more information

 
 
Contact us here
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 +(506) 2519-9900| Edificio AE205, Texas Tech University-Costa Rica. Avenida Escazu, San Rafael, Escazú. San José, Costa Rica