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Filtering by: Keyword Basketball Trajectory Subject Engineering Sciences and Applied Mathematics

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Methods for Images, Time Series, and Activation Functions with Deep Neural Networks

Description:

In this work, we explore the utility of the three main types of neural networks: feed forward, convolutional, and recurrent. While using these networks, we develop a new way to model multiagent trajectory data, explore the use of multiple activation functions for neurons at each layer of a neural network,...

Keyword:

Stock Prediction, Deep Learning, Basketball Trajectory, Activation Functions, and Machine Learning

Subject:

Engineering Sciences and Applied Mathematics

Creator:

Mark Harmon

Owner:

Scholarly Digital Publishing

Date Uploaded:

10/14/2019

Date Modified:

10/14/2019

Date Created:

2018-01-01

Resource Type:

Dissertation