https://github.com/chaitanyak77/sgd-v-s-bgd

Implementation and in-depth comparative analysis of two foundational machine learning optimization algorithms, Stochastic Gradient Descent (SGD) and Batch Gradient Descent (BGD).
https://github.com/chaitanyak77/sgd-v-s-bgd

batch-gradient-descent deep-learning sgd-optimizer

Last synced: about 2 months ago
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Implementation and in-depth comparative analysis of two foundational machine learning optimization algorithms, Stochastic Gradient Descent (SGD) and Batch Gradient Descent (BGD).

• Host: GitHub
• URL: https://github.com/chaitanyak77/sgd-v-s-bgd
• Owner: ChaitanyaK77
• License: mit
• Created: 2023-09-07T10:53:23.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-07T10:55:03.000Z (over 1 year ago)
• Last Synced: 2023-09-07T11:52:11.820Z (over 1 year ago)
• Topics: batch-gradient-descent, deep-learning, sgd-optimizer
• Language: Jupyter Notebook
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# SGD v/s BGD

Implementation and in-depth comparative analysis of two foundational machine learning optimization algorithms, Stochastic Gradient Descent (SGD) and Batch Gradient Descent (BGD).