The attention mechanism in deep learning is like a spotlight that helps a model focus on specific parts of input data when making...

Multimodal models are a rapidly growing area of artificial intelligence that focuses on combining different data types, such as text,...

Transformers are a type of neural network architecture that has gained popularity in recent years, particularly in the field of natural...

Hyperparameter tuning is an essential step in training machine learning models, as it helps find the best set of hyperparameters that...

Generalization is a crucial aspect of neural networks, as it refers to the model's ability to learn from given data and apply the learned...

Hello, I attended Stanford HAI's event on Blockchain today. Here are excerpts from the event: Event: Stanford University HAI Speaker:...

Prof Antonio Toralba AI has been trying to figure out a way to learn from data without labels just like humans do. So far,...

How Momentum improves generalization in deep learning The main aim of deep learning is to build an artificial neural network based on...

I had the pleasure of attending the ICML conference held in Baltimore. Here are a few highlights from the sessions I attended. Learning...

Introduced by Goodfellow et al. in NeurIPS (2014), generative adversarial networks (GANs) are an exciting recent innovation in machine...