Live / groupGen AI with Python and TensorFlow 2
About this course
Embark on a hands-on journey into Generative AI using Python and TensorFlow. This course dives deep into the principles and implementation of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and other advanced generative models. Learn to create synthetic content, generate images, text, and more through practical projects and real-world applications. Join us to master the application of Python and TensorFlow in the world of Generative AI.You'll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs.
What you'll learn
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Course content
Your instructor
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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This course includes
Level: Beginner
Session: Group
Duration: 20 Hours