Weight Matrix
مصفوفة الأوزان
مصفوفة تحتوي على الأوزان المُتعلَّمة في طبقة من الشبكة العصبية، وتحدد كيفية تحويل المُدخَلات إلى مخرجات.
A matrix containing learned weights in a neural network layer, determining how inputs are transformed into outputs.
Also translated asمصفوفة المعاملات، المصفوفة الوزنية
First appears in this corpus in: Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation (2014)
Appears in these papers
- Are Transformers Effective for Time Series Forecasting?2023in the sky ✦
- GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022in the sky ✦
- GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022in the sky ✦
- Optimizing Neural Networks with Kronecker-Factored Approximate Curvature2015in the sky ✦
- LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022in the sky ✦
- LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022in the sky ✦
- LoRA: Low-Rank Adaptation of Large Language Models2021in the sky ✦
- Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022in the sky ✦
- QLoRA: Efficient Finetuning of Quantized LLMs2023in the sky ✦
- Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation2014in the sky ✦
- Shampoo: Preconditioned Stochastic Tensor Optimization2018in the sky ✦