The paper of Ian Goodfellow on General Adversarial Network has opened a whole new dimension for machine learning. GAN starts its roots from Generative Modeling and now is progressing fast to attain the category of being a domain all to itself!
How can GAN be a determining factor in the field of technology? What are the challenges one has to face working in this field? What are the reasons behind it? Let’s find out together.
Work on creating something new from the hands of artificial intelligence has been an integral part since the very inception of Machine Learning. From CNN to DNN to GAN, there still stays loads of new methods for us to think about. An insight into the hot topic in the market of Machine Learning would only prepare us for the future of this field.