What are some examples of deep learning? Nowadays, deep learning can be everywhere, from groundbreaking AI companies to the voice assistant in your smartphone. Here are just a few of the most popular deep-learning applications: ChatGPT OpenAI's chatbot uses deep learning and is one of the lar...
On the downside, if the marijuana is taken in high doses it does the reverse causes paranoia and increases anxiety. Medical marijuana is known to fight, prevent and regulate some diseases Research and studies on the medical marijuana have proven that several diseases can be combated by ...
For example, if elections are coming up in town, a deep learning algorithm could scan news headlines and, based on the sentiment it finds in the text, predict who is going to be leading in the polls. And that’s just one example of the many ways deep learning is mixed in with our ...
Understand what a transformer model is and its role in AI, revolutionizing natural language processing and machine learning tasks.
The bottom line is that deep learning isn’t just all about telling your phone what to do or tagging your buddies on Facebook. It has the potential to bring about real societal change. The downside of deep learning though, is a radical transformation of the labour market, which...
Last Wordsis the posthumously published autobiography by George Carlin (with Tony Hendra). While it is an entertaining read, there is only one part that stuck with me: I believe I am bigger than the universe, smaller than the universe and equal to it. I’m bigger than the universe because...
If the problem requires break through creativity you want someone who can make sure the group makes the right creative decisions. This works best when shipping new products or initiatives. The downside is that this person will soon need a functionally minded person on their team to make sure th...
For me, growing up, the downside of it was that as a kid you don't want to stand out. You don't want to have a famous father let alone get a job because of your famous father, you know? But I'm a product of nepotism. That's how I got my foot in the door, through my da...
A sloper can be used to grade a pattern up or down to your desired size as well, though this method may be less precise than grading by more mathematical methods. Essentially, using a sloper to grade is just one way to do a slash and spread grade, and the sloper becomes a guide for...
On the other hand, simpler, more “shallow” ML models (such asdecision treesand regression models) don’t suffer from the same disadvantages. They still require lots of data but are cheap to train otherwise. They are also more explainable. The downside is that such models can be limited ...