Researchers from Zhejiang Lab have proposed a novel spatiotemporal mode multiplexing technology, coupling pulsed orbital angular momentum (OAM) beams with diffractive deep neural networks (D2NN) and ...

Learn what pooling layers are and why they’re essential in deep neural networks! This beginner-friendly explanation covers max pooling, average pooling, and how they help reduce complexity while ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...