sequential models
[sɪˈkwɛnʃəl ˈmɑdəlz]
nounpl: sequential models
modelos sequenciais
1. Machine learning or statistical models that process data in a specific order, where each step depends on previous steps
Sequential models are commonly used in natural language processing to predict the next word in a sentence.
Modelos sequenciais são comumente usados em processamento de linguagem natural para prever a próxima palavra em uma frase.
2. In deep learning, neural networks designed to handle sequential or time-series data where the order of inputs matters
LSTM networks are popular sequential models for analyzing time-series financial data.
Redes LSTM são modelos sequenciais populares para analisar dados financeiros de séries temporais.
3. Models that process inputs one step at a time, maintaining an internal state that carries information forward
Sequential models maintain hidden states that capture information from previous time steps.
Modelos sequenciais mantêm estados ocultos que capturam informações das etapas de tempo anteriores.
This is specialized technical terminology primarily used in computer science, machine learning, and artificial intelligence fields. It is consistent across both Brazilian Portuguese and English-speaking technical communities. The term gained prominence with the rise of deep learning and neural networks in the 2010s and is now standard in academic and industry settings worldwide.
Look up more words on Fala2Me
The free English-Portuguese dictionary with real Brazilian accents, NYC slang, conjugator and more
Open Fala2Me →