Franklin

Deep learning in Python : different types of deep learning network.

Other records:
Publication:
London : SAGE Publications Ltd, 2019.
Series:
Deep Learning in Python ; 12.
Deep Learning in Python ; 12
Format/Description:
Video
1 online resource (1 video file (00:07:04)) : sound, colour.
Subjects:
Python (Computer program language).
Machine learning.
Neural networks (Computer science).
Language:
Closed-captions in English.
System Details:
digital
Summary:
Soubhik Barari, PhD student in Political Science, IQSS, at Harvard University, discusses different neural networks that can be created using Python, including multilayer perceptron (MLP), convolutional (CNN), recurrent (RNN), long short-term memory (LSTM), and autoencoders.
Participant:
Academic, Soubhik Barari.
Notes:
Description based on XML content.
Contributor:
Barari, Soubhik, Academic.
ISBN:
9781526493439
OCLC:
1103519532
Access Restriction:
Restricted for use by site license.
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