(For more background, check out our first flowchart on "What is AI?" here.) Machine-learning algorithms use statistics ... today known as the father of deep learning. Deep learning is machine ...

As it currently stands, the vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning ... drew you this flowchart on the ...

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.

By looking through purchase data, engagement metrics and so on, a deep learning algorithm can pinpoint the characteristics or affinities that make someone more likely to engage with a brand.

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Deep learning algorithms are modeled after the structure and function of the human brain, making use of multiple layers of artificial neurons (hence "deep" learning). These layers allow the system ...

Hinton points out that ANNs can be trained using reinforcement learning ... FF algorithm can be much more memory efficient than the classical backprop, with up to 45% memory savings for deep ...

For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where ...

Researchers at Jinhua Advanced Research Institute and Harbin University of Science and Technology have recently developed a deep learning algorithm that could detect depression from a person's speech.