network architecture (Meaning)
network architecture (n)
specification of design principles (including data formats and procedures) for creating a network configuration of data processors
Synonyms & Antonyms of network architecture
No Synonyms and anytonyms found
network architecture Sentence Examples
- The network architecture of the deep learning model determines the flow of data through the layers.
- The choice of network architecture is crucial for achieving optimal performance in machine learning tasks.
- Convolutional neural networks (CNNs) are characterized by their distinctive network architecture, which is suited for image recognition.
- The recurrent neural network (RNN) architecture allows for the processing of sequential data with memory capabilities.
- The transformer network architecture has revolutionized natural language processing (NLP) with its self-attention mechanism.
- Generative adversarial networks (GANs) employ a unique network architecture consisting of two competing sub-networks.
- The network architecture of autoencoders enables unsupervised feature extraction and dimensionality reduction.
- The design of a network architecture involves determining the number of layers, neurons, and connections.
- Sparse network architectures minimize computational cost by reducing the number of active connections.
- The research community is continuously exploring innovative network architectures to enhance the performance of deep learning models.
FAQs About the word network architecture
specification of design principles (including data formats and procedures) for creating a network configuration of data processors
No synonyms found.
No antonyms found.
The network architecture of the deep learning model determines the flow of data through the layers.
The choice of network architecture is crucial for achieving optimal performance in machine learning tasks.
Convolutional neural networks (CNNs) are characterized by their distinctive network architecture, which is suited for image recognition.
The recurrent neural network (RNN) architecture allows for the processing of sequential data with memory capabilities.