AI, Machine Learning and Deep Learning fall under one Umbrella - Data Science. AI is not future. It is rather near future and to keep up with the changing demand of the industry one ought to delve into Deep Learning. It enables CS Engineers to stay in their career by mastering the huge paradigm shift the way Machine Learning is now being implemented to achieve Artificial Intelligence. This course is most suited for: 1.Object Oriented application developers who aspire to carve out their career in the field of Data Science. 2.Professionals having basic understanding of Data Science concepts. 3.Statistics and Probability professionals involved in Data Mining and Interpretation techniques. 4.Software professionals who already have Big Data background and aspire to delve into developing automated learning features of a system.
Introduction to Deep Learning, Understanding Neural Networks with TensorFlow, Deep dive into Neural Networks with TensorFlow , Master Deep Networks , Convolutional Neural Networks (CNN) , Recurrent Neural Networks (RNN) , Restricted Boltzmann Machine (RBM) and Autoencoders , Keras API , TFLearn API , TFLearn API