neural net
Học thuậtThân thiện
Definition
- Noun:
- A biological neural network: Any interconnected group of nerve cells (neurons) or clusters of neurons (nuclei) in the body that work together to perform a specific function, such as processing sensory information or controlling movement.
- An artificial neural network (ANN): A computer system architecture designed to mimic the structure and function of biological neural networks. Processors (called nodes or units) are densely interconnected in layers. A key feature is its ability to learn and improve its performance through exposure to data and a process of trial and error, rather than by being explicitly programmed with rules.
Usage Examples
Noun (Biological):
- The visual cortex contains a complex neural net that processes information from the eyes.
- Researchers are studying the neural net responsible for regulating breathing.
Noun (Artificial/Computational):
- The company uses a neural net to recommend products to its customers based on their browsing history.
- This image recognition software is powered by a deep neural net that was trained on millions of photographs.
Advanced Usage
- "To train a neural net": The process of feeding data to an artificial neural network and adjusting its internal parameters (weights) to minimize errors in its output. This is the core "learning" mechanism.
- It took weeks of computational time to train the neural net on the dataset.
- "A neural net architecture": Refers to the specific design and arrangement of layers and connections within an artificial neural network (e.g., convolutional, recurrent).
- Choosing the right neural net architecture is crucial for the model's success.
Variants and Related Words
- Neural network (n): The full and most common term, synonymous with "neural net."
- Artificial Neural Network (ANN) (n): The formal term for the computing system, often abbreviated as ANN.
- Deep Neural Network (DNN) (n): A specific type of ANN with multiple hidden layers between the input and output layers, enabling it to model complex patterns.
- Node/Unit (n): The fundamental processing element within an artificial neural network, analogous to a neuron.
- Weight (n): A numerical parameter within an ANN that strengthens or weakens the signal between two nodes, representing the "strength" of a connection.
Synonyms
- Biological context: Neuronal circuit, nerve network.
- Computational context: Connectionist system, artificial intelligence model, machine learning model (broader category).
Related Phrases
- Feedforward neural net: A type of ANN where connections between nodes do not form cycles; information moves in one direction from input to output.
- Recurrent neural net (RNN): A type of ANN where connections between nodes can form directed cycles, allowing it to exhibit dynamic temporal behavior and process sequences of data.
- Neural net model: Refers to a specific, trained instance of a neural network ready for a task like prediction or classification.
Noun
- any network of neurons or nuclei that function together to perform some function in the body
- computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error