Optimization Updates for NeuroFlex

[devin-ai-integration[bot]]

Optimization Updates for NeuroFlex

This pull request includes significant updates to the NeuroFlex AI framework, focusing on optimization strategies. The changes include:

• Implementation of advanced optimizers such as AdamW, Ranger, and Nadam.
• Parameter tuning for improved model accuracy and training efficiency.
• Benchmarking results for different architectures (MLP, CNN, RNN) with various optimization techniques.

These updates aim to enhance the performance and scalability of the NeuroFlex framework, particularly in Edge AI applications.

For more details, please refer to the Devin run: Devin Run Link.

Please review the changes and provide feedback or approval for integration into the main codebase.

This Devin run was requested by kasinadhsarma.

If you have any feedback, you can leave comments in the PR and I'll address them in the app!