Hidden Layer

الطبقة الخفية

المستويات الحوسبية البينية الواقعة بين المدخلات والمخرجات، وتقوم باستخلاص الميزات العميقة.

Hidden Layer

Also translated asالمستوى المستتر للمعالجة، الطبقة البينية للشبكة، الطبقات الخفية

First appears in this corpus in: The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain (1958)

Appears in these papers

Mastering the Game of Go Without Human Knowledge2017 in the sky ✦
Learning Representations by Back-Propagating Errors1986 in the sky ✦
Neural Networks and the Bias/Variance Dilemma1992 in the sky ✦
A Learning Algorithm for Boltzmann Machines1985 in the sky ✦
Unsupervised Visual Representation Learning by Context Prediction2015 in the sky ✦
Gradient-Based Learning Applied to Document Recognition1998 in the sky ✦
Reducing the Dimensionality of Data with Neural Networks2006 in the sky ✦
A Fast Learning Algorithm for Deep Belief Nets2006 in the sky ✦
Deep Learning2015 in the sky ✦
Extracting and Composing Robust Features with Denoising Autoencoders2008 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
Explaining and Harnessing Adversarial Examples2015 in the sky ✦
Graph Attention Networks2018 in the sky ✦
Semi-Supervised Classification with Graph Convolutional Networks2017 in the sky ✦
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling2014 in the sky ✦
mixup: Beyond Empirical Risk Minimization2018 in the sky ✦
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer2022 in the sky ✦
A Neural Probabilistic Language Model2003 in the sky ✦
Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018 in the sky ✦
Neural Tangent Kernel: Convergence and Generalization in Neural Networks2018 in the sky ✦
The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain1958 in the sky ✦
Perceptrons: An Introduction to Computational Geometry1969 in the sky ✦
Random Features for Large-Scale Kernel Machines2007 in the sky ✦
Rectified Linear Units Improve Restricted Boltzmann Machines2010 in the sky ✦
Temporal Difference Learning and TD-Gammon1995 in the sky ✦
Approximation by Superpositions of a Sigmoidal Function1989 in the sky ✦
Approximation by Superpositions of a Sigmoidal Function1989 in the sky ✦
VQA: Visual Question Answering2015 in the sky ✦
Wide & Deep Learning for Recommender Systems2016 in the sky ✦
Understanding the Difficulty of Training Deep Feedforward Neural Networks2010 in the sky ✦
Understanding the Difficulty of Training Deep Feedforward Neural Networks2010 in the sky ✦
Deep Neural Networks for YouTube Recommendations2016 in the sky ✦