The chapter on Explore ML series - held by GDSC IIEST - comes to a close with a last session based on Neural Networks - Part II.

The session will be led by Sayan Kumar, who has been an ML intern at IIT Indore, and is a part of the ML team at GDSC IIEST.

This session is a continuation of the previous session on Neural Networks, hence dives more deeply into the domain of gradient descent and learning rate, and gives you a mathematical viewpoint. You'll also gain knowledge about how choosing different learning rates will affect your gradient descent. Some more highlights of this session will be on :

-> Forward and backward propagation.

-> Overfitting and underfitting.

-> Batches and Epochs.

The session is scheduled on 28th May (Saturday), to be held at 6:30 pm IST.

We look forward to having you onboard with us as this journey draws to a close. Hope you'll get to learn something new and interesting!