I recently came across a problem related to image recognition in Deep Learning. One fine morning, I was struck with the idea that possibly I could do something about it if I merged GANs with CNNs. As of now, I only know what these networks are capable of.
Now how should I go about this? Should I first pick a standard book (say Ian Goodfellow's Deep Learning) and read it from cover to cover? Or should I straightaway read some research articles, identify areas I am weak in, and then dig deep into those very areas from standard texts.
In other words, is it better to complete everything I can get my hands on before starting to work on this idea? Or should I start on it and fill the gaps as they come by.
P.S. My background in courses in statistical learning, probability, and calculus ensures I can completely understand the math behind the above stated topics.