Have you ever wondered which optimization algorithm to use for your Neural network Model to produce slightly better and faster results by updating the Model parameters such as Weights and Bias values?

Should we use Gradient Descent or Stochastic gradient Descent or Adam?

There are some courses on Building chatbots in Python and NLP fundamentals in Python using NLTK which I would also recommend for people interested more in learning AI and deep learning. So go give it a try on the basis of your interest.

Also, this article will help you out in understanding the differences between various Optimization algorithms and which one to use in which scenario.

Types of Optimization Algorithms and which one to use?

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