Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research. The term ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

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We investigate the properties of a recursive estimation procedure (the method of "back-propagation") for a class of nonlinear regression models (single hidden-layer feedforward network models) ...

Pooling layers play a key role in deep neural networks, especially in convolutional neural networks (CNNs). In this video, we break down what pooling layers do, how they reduce spatial dimensions, and ...

The term deep neural network can have several meanings, but one of the most common is to describe a neural network that has two or more layers of hidden processing neurons. This article explains how ...