4 Reasons Why Deep Learning and Neural Networks Aren't Always the Right Choice

Dee learning is getting a lot of hype at the moment. People want to use neural networks everywhere, but are they always the right choice? We'll take a look at some of the disadvantages of using them. There are four primary reasons why deep learning enjoys so much buzz at the moment: data, computational power, the algorithm itself and marketing. Massive amounts of available data gathered over the last decade has contributed greatly to the popularity of deep learning. This has allowed neural networks to really show their potential since they get better the more data you fed into them.