Training data is a collection of labeled information that’s used to build a machine learning model. It usually consists of text, images, video, or audio. (more…)

Dense Associative Memories or modern Hopfield networks permit storage and reliable retrieval of an exponentially large (in the dimension of feature space) number of memories. At the same time, their naive implementation is non-biological, since it seeming... (more…)

How to apply Continuous Delivery to build Machine Learning applications... (more…)

mlhelper - Algorithms and utils for Machine Learning in JavaScript. (more…)

From a computer’s standpoint, the difficulty in pattern recognition is one of surplus: with an endless variety of patterns, all… (more…)