sequential neural networks
[/səˈkwɛnʃəl ˈnjuːrəl ˈnɛtˌwɜrks/]
nounpl: sequential neural networks
redes neurais sequenciais
1. A type of artificial neural network architecture where layers are stacked linearly, with data flowing sequentially from input through hidden layers to output, typically processing one sample at a time in order
The researcher implemented a sequential neural network to predict stock prices based on historical data.
O pesquisador implementou uma rede neural sequencial para prever preços de ações baseado em dados históricos.
2. A machine learning model composed of a linear stack of layers commonly used for supervised learning tasks on sequential or tabular data
Sequential neural networks are often the first choice for beginners due to their straightforward architecture.
Redes neurais sequenciais são frequentemente a primeira escolha para iniciantes devido à sua arquitetura direta.
3. In deep learning frameworks like Keras or TensorFlow, a model class that allows building neural networks by stacking layers in a linear progression
Using Keras, you can create a sequential neural network by instantiating the Sequential class and adding layers.
Usando Keras, você pode criar uma rede neural sequencial instanciando a classe Sequential e adicionando camadas.
This term is primarily used in technical and academic contexts related to artificial intelligence and machine learning. In Brazil, the adoption of sequential neural networks has grown significantly with the expansion of tech companies and AI research centers in São Paulo and Rio de Janeiro. The terminology is largely standardized across Portuguese-speaking countries due to the international nature of computer science education and industry practices. Most Brazilian data scientists and machine learning engineers use English terminology alongside Portuguese translations in their professional work.
Related Idioms & Phrases
stacking layers sequentially
linear progression of data through layers
sequential model architecture
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