Generative Adversarial Networks (GANs) in Practice - CouponED

Deep learning is one of the most recent and advanced topics in machine learning, with several applications in many fields. It shows promising results in many areas, from computer vision to drug discovery and stock market prediction. There are many books and articles in deep learning that discuss its algorithms, theories, and applications. Also, because of its capabilities and potentials in solving different problems by deploying different data types, many researchers and people who are not in computer science or related fields are interested in learning and using deep learning architectures in their projects. This course gives you some fundamentals of artificial neural networks and deep learning and then has focused on Generative Adversarial Network and its applications with some coding examples to understand the concepts better.