Statistics in Python: Building Neural Networks with Keras

Neural networks are becoming an increasingly important tool in machine learning. In this short course, we demonstrate how to rapidly prototype an artificial neural network (ANN) in Python using the Keras library. We briefly introduce ANNs, including important variations like convolutional networks. Using Keras, students will build their own networks for some basic machine learning problems.

  • PREREQUISITES: Understanding of Numpy.
  • RECOMMENDED: Attendance at Statistics in Python: Python Data Wrangling (4/15/2019) 
  • SOFTWARE REQUIREMENTS: See https://github.com/wshand/Python-Data-Science-Workshop#required-software-

Monday, April 29 at 12:00pm to 2:00pm

Norlin Library, E206 (CRDDS)
1157 18th Street, Boulder, CO 80309

Event Type

Workshop/Training

Interests

Development & Training, Education, Research & Innovation

Audience

Students, Faculty, General Public, Staff, Postdoc

College, School & Unit

University Libraries

Tags

coding, statistics, CRDDS, Libraries

Group
Center for Research Data and Digital Scholarship
Hashtag

#crdds

Subscribe
Google Calendar iCal Outlook

Event Registration Required

This event requires registration.