STUDENT SEMINAR
Speaker: Swapnil Shukla
Topic: Introduction to Artificial Neural Networks
Date & Time: Thursday, 18 November 2021 at 4:00 PM through MICROSOFT TEAMS.
Link:
Abstract:
Artificial Neural Networks (ANNs) is a machine learning method which is inspired by the networks of biological neurons. These models are composed of multiple processing layers to learn representations of data. Over the last few years, the field of machine learning witnessed a dramatic advancement in the method of Artificial Neural Networks by means of improvement in speech recognition, object detection and have been used in diverse applications in healthcare, robotics,forecasting and self-driving cars.
In this seminar, I shall briefly discuss the origin of the idea of neural networks along with an overview of different generations of artificial neural networks and the systematic step-by-step procedure which optimizes a criterion commonly known as the learning rule. Moreover, I will be showing some of the examples of deep neural networks and their applications.
References:
- Hinton, G et. al. Nature 2015, 521, 436 -444
- Williams J. R et. al.Nature 1986, 323, 533–536
- Hinton, G.et. al. Proc. Advances in Neural Information Processing Systems 2012,25,1090–1098
- Rosenblatt, F.Psychol. Rev.1958, 65, 386–408