https://github.com/chaitanyak77/loss-cost-function-in-dl

This repo serves as a showcase for the implementation of various cost functions commonly used in the measurement of efficient weights and biases during the critical phase of backward propagation in neural networks.
https://github.com/chaitanyak77/loss-cost-function-in-dl

Last synced: about 2 months ago
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This repo serves as a showcase for the implementation of various cost functions commonly used in the measurement of efficient weights and biases during the critical phase of backward propagation in neural networks.

• Host: GitHub
• URL: https://github.com/chaitanyak77/loss-cost-function-in-dl
• Owner: ChaitanyaK77
• License: mit
• Created: 2023-09-07T07:00:10.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-07T07:00:41.000Z (over 1 year ago)
• Last Synced: 2023-09-07T08:23:19.572Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Loss-Cost-Function-in-DL

This repo serves as a showcase for the implementation of various cost functions commonly used in the measurement of efficient weights and biases during the critical phase of backward propagation in neural networks.