Generative Adversarial Networks (GANs) in Practice

Partner: Udemy
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Description: Deep learning is a new and advanced area of machine learning that can be used in many different fields. It has shown promise in many areas, such as computer vision, drug discovery, and predicting the stock market. Many books and articles on deep learning cover its algorithms, theories, and applications. Also, many researchers and people who aren't in computer science or related fields are interested in learning about deep learning architectures and using them in their projects because they can solve different kinds of problems by using different kinds of data.This course covers the fundamentals of artificial neural networks and deep learning before focusing on generative adversarial networks and their applications, complete with coding examples to help you understand the concepts. This course is for people who are new to machine learning and deep learning and want to learn how to use Python, TensorFlow, and Keras to implement deep learning algorithms, especially GAN algorithms.The course is broken up into seven chapters. The first one is about the basics of machine learning, and the last one is about CycleGAN. Each chapter includes quizzes and assignments to put students' knowledge to the test. It also has a solution for each project.I think that the information in this course will be well received by undergraduate and graduate students, researchers in deep learning, and practitioners in academia and business around the world.
Category: IT & Software > Other IT & Software > Generative Adversarial Networks (GAN)
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Price: 199.99
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Source: Impact
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