About the workshop
This is a five day workshop which will progressively take you through various Unsupervised and Deep Learning, providing hands on experience on problems based on Artificial Neural Networks, Convolution Neural Networks, Clustering, Feature Engineering and Optimization. At the end of this workshop, you would have solved and uploaded your results to the respective sites.
Day 01 : Unsupervised Learning - Clustering
is an unsupervised machine learning method. It is grouping of data points into groups of similar characterstics.Through this workshop, you will get to know how clustering is done and will get hands-on experience on KMeans algorithm. You will get to solve a problem which is based on clustering.
Day 02 : Introduction to Artificial Neural Networks
When we consider human brain, has a unique characteristic of creating transient states through neurons in between the sensory organs and the brain. These transient states create randomness in decision making. So, in artificial neural networks, transient states which allow machines to learn in a more sophisticated manner. In this session, you will get an introduction to artificial neural networks.
Day 03 : Building Of Artificial Neural Networks
This session of workshop deals with the building of Artificial Neural Networks.It delves you deeper into each step and associated concepts involved in building of artificial neural networks. The various ways in which the input layer, hidden layer and output layers can be added with a hands-on experience on a live problem.
Day 04 : Introduction to Convolution Neural Networks
Convolution Neural Networks
are used mostly in classification of images into different classes based on the features of the images. It is most popularly used in the classification of different objects such as bottle, person, chair etc.This session of workshop provides introduction to CNN and various terms involved in it.
Day 05 : Building Of Convolution Neural Networks
This session of workshop deals with the building of Convolution Neural Networks. It delves you deeper into each step and associated concepts involved in building of Convolution Neural Networks. This workshop covers concepts like Flatening, Max Pooling and Convolution with hands-on experience on a live problem