How can i learn about Neural Network theory simply.

Question

i am try to understand this theory since two months but i can't.

Answer 1

You need a solid foundation on both calculus and probability in order to understand simple machine learning.

But to understand deep learning and neural networks, you have to also be familiar with concepts like linear regression, loss functions, overfitting, and gradient descent. You also should have learned and played with algorithms like logistic regression, SVMs, K-nn, and decision trees. And that's not even close to neural networks yet!

Please just don't jump in the deep end when you don't even have an idea about the high-level concepts yet. You're just going to break your mind. Take it slow, start with the basics, and learn one thing at a time.