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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-

Date:
Monday, April 29, 2019
Time:
12:00pm - 2:00pm
Location:
E206
Building:
Norlin Library
Categories:
  CRDDS  
Registration has closed.

Host

Center for Research Data & Digital Scholarship