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Deep learning in Python : different types of deep learning network.
- Format:
- Video
- Series:
- Sage research methods.
- Deep Learning in Python ; 12.
- Deep Learning in Python ; 12
- Language:
- English
- Subjects (All):
- Python (Computer program language).
- Machine learning.
- Neural networks (Computer science).
- Physical Description:
- 1 online resource (1 video file (00:07:04)) : sound, colour.
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- 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.
- ISBN:
- 9781526493439
- OCLC:
- 1103519532
- Access Restriction:
- Restricted for use by site license.
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