Why Deep Learning Technology Is Dividing Opinion In The Tech World

The history of deep learning goes back as far as 1943, when Walter Pitts and Warren McCulloch created a computer model based on the neural networks of the human brain. Today, if we asked a language model like GPT-3 to write an article about the history of deep learning, it might begin with that sentence. Many changes led from Pitts and McCulloch's early neural network to what we now call "deep learning": the addition of backpropagation (Yann LeCun and others), and the creation of "deep" networks with many "hidden layers" (Geoff Hinton and others) are perhaps the most important. And while early neural networks couldn't be programmed effectively (if at all) on the computers of their day, deep learning has now become commonplace. What was once couldn't even be implemented on the largest supercomputers run comfortably on your laptop.