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 (1/29/2020).
Repository link: https://github.com/kernelmethod/Python-Data-Science-Workshop
Required Software: https://github.com/kernelmethod/Python-Data-Science-Workshop#required-software-
Join Zoom Meeting https://cuboulder.zoom.us/j/330752916 Meeting ID: 330 752 916
Wednesday, February 5, 2020 at 10:00am to 12:00pm
Norlin Library, E206
1157 18th Street, Boulder, CO 80309
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Science & Technology, Research & Innovation, Internet & Digital Media, Journalism & Media
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Engineering & Applied Science, Graduate School, Arts & Sciences, Media, Communication and Information, University Libraries
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