Vanishing Gradient
اضمحلال متجهات الميل
مشكلة شائعة في التعلم العميق تحدث عندما تصبح التدرجات صغيرة للغاية مما يعيق تحديث أوزان الطبقات المبكرة، و يتسبب في توقف النموذج عن التعلم أو بطء شديد في التدريب.
Vanishing Gradient
Also translated asتلاشي التدرجات، الاختفاء التدريجي، التدرج المتلاشي، تلاشي المشتقات العكسية، تلاشي التدرج التفاضلي، التدرج التفاضلي المتلاشي
First appears in this corpus in: Learning Representations by Back-Propagating Errors (1986)
Appears in these papers
- ImageNet Classification with Deep Convolutional Neural Networks2012in the sky ✦
- Learning Representations by Back-Propagating Errors1986in the sky ✦
- Learning Representations by Back-Propagating Errors1986in the sky ✦
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015in the sky ✦
- Learning Long-Term Dependencies with Gradient Descent is Difficult1994in the sky ✦
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in the sky ✦
- Generative Adversarial Networks2014in the sky ✦
- On the Difficulty of Training Recurrent Neural Networks2013in the sky ✦
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling2014in the sky ✦
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015in the sky ✦
- Highway Networks2015in the sky ✦
- Long Short-Term Memory1997in the sky ✦
- Long Short-Term Memory1997in the sky ✦
- Rectified Linear Units Improve Restricted Boltzmann Machines2010in the sky ✦
- Deep Residual Learning for Image Recognition2015in the sky ✦
- Learning Phrase Representations Using RNN Encoder-Decoder for Statistical Machine Translation2014in the sky ✦
- Recurrent Neural Networks (RNNs): A Gentle Introduction and Overview2019in the sky ✦
- Recurrent Neural Networks (RNNs): A Gentle Introduction and Overview2019in the sky ✦
- Efficiently Modeling Long Sequences with Structured State Spaces2022in the sky ✦
- Efficiently Modeling Long Sequences with Structured State Spaces2022in the sky ✦
- Sequence to Sequence Learning with Neural Networks2014in the sky ✦
- Very Deep Convolutional Networks for Large-Scale Image Recognition2014in the sky ✦
- WaveNet: A Generative Model for Raw Audio2016in the sky ✦
- Wasserstein GAN2017in the sky ✦