Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works? In this video, we break down Decoder Architecture in Transformers step by ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...