Open ojhankit opened 3 hours ago
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@sanjay-kv please do check my idea and if you find this satisfactory please assign this to me.
Is there an existing issue for this?
Feature Description
The work I propose involves:
Implementing key optimizers such as Stochastic Gradient Descent (SGD), Adam, RMSprop, and others from scratch. This would allow for comparison between different optimization algorithms in your models
Documenting each optimizer and explaining their strengths, weaknesses, and use cases, making it easier for users to choose the right one.
Use Case
1.model performance tuning 2.Better understanding on choosing optimizer
Benefits
No response
Add ScreenShots
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Priority
High
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