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Neural Network


MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed “liquid” networks, change their underlying equations to continuously adapt to new data inputs. The advance could aid decision making based on data streams that change over time, including those involved in …

As a student pursuing a doctorate in systems design engineering at the University of Waterloo, Alexander Wong didn’t have enough money for the hardware he needed to run his experiments in computer vision. So he invented a technique to make neural network models smaller and faster. “He was giving a presentation, and somebody said, ‘Hey, …

Overview This guide shows how to install Keras. Keras is a high-level neural networks API written and for Python. It is also capable of running on top of TensorFlow.   Prerequisites Python has been installed Installation on Ubuntu Installation on Windows Optional but recommended. Setup a VirtualEnvironment and Pip has been installed. VirtualEnvironment for Ubuntu …

A common industry standard for deep learning hardware is the use of neural network quantization, as noted by an MIT study. Neural networks are computation and memory intensive. Quantization cuts down on the usage of these resources by stripping an input of details which won’t gravely affect the information conveyed. As an example, consider image …

When mundane objects such as cords, keys and cloths are fed into a live webcam, a machine-learning algorithm ‘sees’ brilliant colours and images such as seascapes and flowers instead. The London-based, Turkish-born visual artist Memo Akten applies algorithms to the webcam feed as a way to reflect on the technology and, by extension, on ourselves. …