Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Amazon Web Services Inc. today previewed an upcoming cloud compute instance series that will enable companies to train artificial intelligence models in its cloud with up to 40% better ...

After the neural network is created, it is set into training mode using the statement net.train (). If your neural network has a dropout layer or a batch normalization layer, you must set the network ...

We’re going to talk about backpropagation. We’re going to talk about how neurons in a neural network learn by getting their math adjusted, called backpropagation, and how we can optimize networks by ...

If you haven’t seen Sundar Pichai’s presentation on Google Duplex, watch it. The technology is fascinating. Google is developing software that can assist users in completing specific tasks such as ...

The goal of a regression problem is to predict a single numeric value, for example, predicting the annual revenue of a new restaurant based on variables such as menu prices, number of tables, location ...