what optimizer would you prefer in deep learning with python?

Question

so i gotta do a classification task and i have about 800 unique object names for last layer ... im using keras with tensorflow backend..
any help would be great . tnx

Answer 1

Actually, in your case Adam optimizer seems the optimal choice. Adam optimizer works pretty well in sparse data and converge much quality than other optimizers like Stochastic Gradient descent, or Gradient descent or even Moment method. Also I recommend you to go and read this article about the deep learning optimizers https://towardsdatascience.com/types-of-optimization-algorithms-used-in-neural-networks-and-ways-to-optimize-gradient-95ae5d39529f . I hope my answer helps you.

Answer 2

Ahmed Draz it did thanks man