Neural Network
[/ˈnjʊərəl ˈnetwɜːk/]
Definitions
مسودة ترجمة بمساعدة آلية (Arabic) for "Neural Network": A computational model loosely inspired by biological neurons, consisting of interconnected layers of mathematical functions (nodes) that transform input data into output predictions. Neural networks learn by adjusting the weights of connections through exposure to training data.
“مسودة مثال: The neural network learned to recognize handwritten digits with over 99% accuracy.”
Related Terms
- TransformerAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Transformer": A neural network architecture introduced in 2017 ("Attention Is All You Need") that underlies virtually all modern language mod...
- Diffusion ModelAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Diffusion Model": A class of generative AI model that learns to create images, audio, or video by reversing a noise-adding process. During tr...
- EmbeddingsAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Embeddings": Dense numerical vector representations of words, sentences, or other data that capture semantic meaning. Similar concepts have s...
- Fine-TuningAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Fine-Tuning": The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a particular ...
- InferenceAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "Inference": The act of running a trained machine learning model on new input data to generate predictions or outputs. Inference is distinct f...
- RAGAI & Technology
مسودة ترجمة بمساعدة آلية (Arabic) for "RAG": Retrieval-Augmented Generation - An AI architecture pattern that combines a language model with external knowledge retrieval to provide...