Hands-on Generative Adversarial Networks (GAN) for Signal Processing, with Python

In my research, I use Machine (Deep) Learning a lot. Two days ago, I was working on Generative Adversarial Network (GAN) and seeing how I can apply it to my work.

After the code was ready, I started writing this article on 

Medium

 and I tried to find the best words to start with a proper introduction, as I always do.

I start asking myself questions like:

“Why should a reader read this? Why what I am trying to communicate is meaningful? What is the framework that we need to have before reading this?”

Now, of course, I believe that the reader should read this because I think what I write is meaningful and interesting.

But the truth is that I love signal processing, and I love writing about it because I love signal processing. This article is about the two things I love the most: signal processing and artificial intelligence. I put all my love, energy, and passion into these two (I actually crossed an ocean to research them) and I hope that you will find this topic interesting.

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