Neural network

Neural network An artificial neural network (aka neural network) is a computational model which is employed by machine learning algorithms and is based on connected hierarchical functions. It simulates the neurons of the human brain.


NLP stands for natural language processing. A similar term is natural language understanding (NLU). Various artificial neural networks (ANN) are used to process natural language, including RNN and LLM neural networks.


NLTK is a natural language processing platform which can be utilized in Python applications to allow them to process human language data. Details about the NLTK platform can be found in its official website at: An alternative toolkit for text tokenization (into sentences and words), for identifying parts of speech and stop words and ... Read more


NLU stands for natural language understanding. See NLP for details.


In machine learning, normalization is a statistical technique by which the data in a dataset are transformed to have values in a normal (Gaussian) distribution. For each value x in the dataset, its corresponding normalized value x' is calculated in the value range [0,1] as follows. Alternatively, there can be a mean normalization, with normalized ... Read more


NoSQL databases are also known as as non-SQL databases. They are different than relational (SQL) databases and do not feature the SQL model with rows and tables. The following types of NoSQL databases are available. Examples of NoSQL databases are the following:  


NPU stands for Neural Processing Unit. It is another name for an AI accelerator.


NumPy is a Python package for scientific computing operations. The NumPy Python library includes a multidimensional array object, a series of derived objects as well as functions which apply processing actions on these objects. More details about NumPy features and documentation can be found at: