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

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