In welcoming The 1st International Conference on Neural Networks and Machine Learning (Iconnsmal), PUI-PTT Combinatorica and Graph invite Dr. R. Sunder, M.Sc., M.Tech., Ph.D. Sunder is an Associate Professor at the Faculty of Computer Science Sahrdaya College of Engineering and Technology Kerala, India. In this Colloquium Sunder brought material entitled "Soft Computing". Sunder explained that artificial nerve networks are computing models inspired by human biological nerve networks. Just like the brain in humans, nerve networks also carry out the learning process to recognize the information provided. In the nerve network there is input in the form of information and is rejected from one neuron to another. The relationship between neurons is what forms artificial neural networks.

When conducting the training process, nerve networks need to be given an activation function. The aim is to change the output value produced. Sunder also added that in artificial nerve networks there are three types of layers, namely input layers, hidden layers, and output layers. Input layers contain neurons that function to receive information. Hidden Layer contains neurons that perform learning tasks. Whereas the output layer contains neurons that produce output values. Prof. Drs. Dafik, M.Sc., Ph.D. Also had the opportunity to bring material about Graph Neural Networks (GNN) to Sunder. Prof. Dafik said that in our PUI-PT, the research that was being worked on was in this GNN. Prof. Dafik also hopes that the existence of this colloquium can be a door to join research, especially in the GNN field.

This webinar also available on youtube with this link: (348) Colloquium with Sunder - YouTube