Northwestern University

Parent Unit Name

Login

LIBRARIES | ARCH

Menu Search

Start Over

Filtering by: Creator Mark Harmon Keyword Activation Functions Resource type Dissertation

1 entry found

List Gallery Masonry Slideshow

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