shallow learning model

[ˈʃæloʊ ˈlɜrnɪŋ ˈmɑdəl]
nounpl: shallow learning models
modelo de aprendizado raso
1. A machine learning model with a limited number of hidden layers (typically one or two) between input and output, used for relatively simple pattern recognition tasks
The team used a shallow learning model instead of a deep neural network for their simple classification task.
A equipe utilizou um modelo de aprendizado raso em vez de uma rede neural profunda para sua tarefa simples de classificação.
2. Machine learning architectures with minimal depth that are faster to train and require less computational resources than deep learning models
For this small dataset, a shallow learning model proved to be more efficient than deep learning.
Para este conjunto de dados pequeno, um modelo de aprendizado raso provou ser mais eficiente que o aprendizado profundo.
This term is primarily used in technical, academic, and professional contexts within machine learning and artificial intelligence fields. It reflects the growing importance of AI literacy in both Brazilian and American technology sectors. The distinction between shallow and deep learning models has become crucial in determining appropriate solutions for different computational problems.
Synonyms / Sinônimos
shallow neural networkshallow modeltraditional machine learning modelconventional learning model
Antonyms / Antônimos
deep learning modeldeep neural networkmulti-layer neural network

Regional Variations

General Brazilian Portuguese
modelo de aprendizado raso
Standard technical term used in Brazilian academic and professional contexts
Rio de Janeiro
modelo de aprendizado raso
Same as general Brazilian usage; technical terminology is uniform
São Paulo
modelo de aprendizado raso
Preferred in tech industry; sometimes abbreviated as 'modelo raso' in informal contexts
Portugal
modelo de aprendizagem superficial
Uses 'aprendizagem' instead of 'aprendizado' and 'superficial' as alternative to 'raso'

Related Words

deep learningneural networkhidden layermachine learningartificial intelligencemodel architecturefeature extraction

Related Idioms & Phrases

keeping it simple with a shallow model
going shallow instead of deep
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