12 Best Deep Learning Books In 2018 - Ranked In Order Of Awesomeness!

I'm sure you'll agree that Artificial Intelligence, in particular Deep Learning, has made huge strides in the last 5 years or so. But what began as a relatively niche field with just a handful of researchers, has now become so mainstream that the apps and services that we use everyday now use Deep Learning to perform tasks that were unthinkable not that long ago. It's been around since the 1940s when Warren McCulloch and Walter Pitts created a computational model for neural networks based on mathematics and algorithms. However "Deep Learning" only began to gain in popularity in the mid-2000s when Geoffrey Hinton and Ruslan Salakhutdinov released a paper showed how a multi-layered neural network could be pre-trained one layer at a time. In 2009 it was discovered that with large enough datasets, you didn't actually need the pre-training and that error rates could drop significantly as a result.