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Deep learning in Python : training a neural network & weight optimization.
- Format:
- Video
- Series:
- Sage research methods.
- Deep Learning in Python ; 7.
- Deep Learning in Python ; 7
- Language:
- English
- Subjects (All):
- Python (Computer program language).
- Machine learning.
- Neural networks (Computer science).
- Physical Description:
- 1 online resource (1 video file (00:09:57)) : 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, uses Python to introduce the concept of back propagation with gradient descent to determine optimized weights, including multiple training variables and the importance of using small incremental changes, backwards computations, and running training sets in batches.
- Participant:
- Academic, Soubhik Barari.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526493491
- OCLC:
- 1103484598
- Access Restriction:
- Restricted for use by site license.
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