Deep learning is the machine learning technique behind the most exciting
capabilities in diverse areas like robotics, natural language
processing, image recognition, and artificial intelligence, including
the famous AlphaGo. In this course, you'll gain hands-on, practical
knowledge of how to use deep learning with Keras 2.0, the latest version
of a cutting-edge library for deep learning in Python.
A brief introduction to research process, research design, research analysis, research writing, and publication, etc.
A brief idea about Machine Learning, Fuzzy Logic and Artificial Neural Networks.
This course gives basic to Machine Learning perspective through pattern recognition techniques. The course will go through the abstract of patterns and its representations, different algorithms in pattern recognition, Different methodologies using Pattern Recognition like Feature extraction, Feature selection, classification, clustering, etc., and walk through to an application using Pattern Recognition in Hand-Written Digit Recognition.
An introduction to Parallel Computing, GPU and CUDA computing.
This course gives an overall idea of the methods and techniques used to analyse the data that belongs to some special category - time series, sequence, Social Network and Text.