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Chapter 22 demonstrates the R deep learning package MXNetR and
demonstrate state-of-the-art deep learning models utilizing CPU and GPU
for fast training (learning) and testing (validation).
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 29th, 2017
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Chapter 21 covers (1) constrained and unconstrained
optimization, (2) Lagrange multipliers, (3) linear, quadratic and
(general) non-linear programming, and (4) data denoising.
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 29th, 2017
|
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Chapter 20 uses Google Flu Trends, Autism, and Parkinson’s
disease case-studies to illustrate (1) alternative forecasting types
using linear and non-linear predictions, (2) exhaustive and…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 29th, 2017
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