Generative Adversarial Networks, or GANs, are a type of artificial neural network that has taken the field of machine learning to another level. GANs have the unique ability to generate new, realistic data that closely mimics the distribution of the original dataset they were trained on it. GANs can create images, videos, and even music. It revolutionized many domains, such as computer vision, natural language processing, and robotics. GANs can produce photos of human faces that cannot be differentiated from the photo taken by a camera.
• Trainees will be administered with multiple real time exercise questions
• Multiple mini projects
• State of art cloud library with latest books
• More topics than the ones listed above shall be covered, subject to availability of time
Innovative, Research Oriented, Quality Minded and result oriented Disruptive Data Scientist with 26+ years of experience executing data-driven analytical solutions to increase efficiency, accuracy and utility of internal data processing. Master in Experiential Learning methodology. Experienced at creating predictive data models, BeSpoke ML/DL algorithms for efficient AI and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems
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