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

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.

Bibliographic Details
Other Authors: Barari, Soubhik (Academic.)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Series:Deep Learning in Python ; 12.
Subjects:
Python (Computer program language)
Machine learning.
Neural networks (Computer science)
Neural Networks, Computer
Machine Learning
Python (Langage de programmation)
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Machine learning
Online Access:Connect to this streaming video
Description
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.
Physical Description:1 online resource (1 video file (00:07:04)) : sound, colour.
ISBN:9781526493439
1526493438