In this post, we’ll go over the basics of deep learning in a concise form, avoiding tricky math when possible. If you don’t understand deep learning already, hopefully by the end of this post you’ll get a gist of how this technology works.
Using artificial intelligence (AI) for content creation is already a reality.
AI is a versatile set of various methods. As you probably know, modern AI is largely based on machine learning (ML).
One particular branch of ML has found its use in many areas, especially for solving complex tasks, such as different types of content generation.
This branch is called deep learning. Deep learning is almost always based on so-called deep neural networks.
These days, deep neural networks can generate images, music, text, and other types of patterns.
So, let’s dive deeper!!
This post is a chapter from my book “How to Create Machine Superintelligence“
Artificial general intelligence is probably the holy grail of computer science. Despite tangible progress in machine learning in recent years, many computer scientists believe that we are still far away from creating really intelligence machines. They say that, probably, even human-level artificial general intelligence is still decades away. The main problem is that we have to incorporate machine learning systems with reasoning and planning. So, what can we do about that?
It’s widely believed that the progress in the field of artificial intelligence has a potential to spawn a new technological revolution in the near future. Today, artificial intelligence already brings a lot of benefits to humanity.