Layer

الطبقة الحسابية

مجموعة من العصبونات المتوازية التي تستقبل المدخلات معاً وتمرر مخرجاتها للمستوى التالي.

Layer

Also translated asالمستوى البنيوي، طبقة المعالجة

First appears in this corpus in: A Logical Calculus of the Ideas Immanent in Nervous Activity (1943)

Appears in these papers

Intriguing Properties of Neural Networks2014 in the sky ✦
Mastering the Game of Go with Deep Neural Networks and Tree Search2016 in the sky ✦
Learning Long-Term Dependencies with Gradient Descent is Difficult1994 in the sky ✦
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding2018 in the sky ✦
A Learning Algorithm for Boltzmann Machines1985 in the sky ✦
A Computational Approach to Edge Detection1986 in the sky ✦
Dynamic Routing Between Capsules2017 in the sky ✦
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001 in the sky ✦
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding2016 in the sky ✦
Deep Learning2015 in the sky ✦
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin2015 in the sky ✦
Deformable Convolutional Networks2017 in the sky ✦
Densely Connected Convolutional Networks2017 in the sky ✦
Deep Interest Network for Click-Through Rate Prediction2018 in the sky ✦
Learning Distributed Representations of Concepts1986 in the sky ✦
Are Transformers Effective for Time Series Forecasting?2023 in the sky ✦
Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014 in the sky ✦
Deep Contextualized Word Representations2018 in the sky ✦
FaceNet: A Unified Embedding for Face Recognition and Clustering2015 in the sky ✦
Fast R-CNN2015 in the sky ✦
Explaining and Harnessing Adversarial Examples2015 in the sky ✦
Gaussian Error Linear Units (GELUs)2016 in the sky ✦
Glow: Generative Flow with Invertible 1×1 Convolutions2018 in the sky ✦
The Graph Neural Network Model2009 in the sky ✦
Going Deeper with Convolutions2014 in the sky ✦
GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022 in the sky ✦
GPTQ: Accurate Post-Training Quantization for Generative Pre-Trained Transformers2022 in the sky ✦
Inductive Representation Learning on Large Graphs2017 in the sky ✦
Highway Networks2015 in the sky ✦
Neural Networks and Physical Systems with Emergent Collective Computational Abilities1982 in the sky ✦
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018 in the sky ✦
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017 in the sky ✦
ImageNet: A Large-Scale Hierarchical Image Database2009 in the sky ✦
LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022 in the sky ✦
LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale2022 in the sky ✦
The Regression Analysis of Binary Sequences1958 in the sky ✦
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019 in the sky ✦
A Logical Calculus of the Ideas Immanent in Nervous Activity1943 in the sky ✦
Natural Gradient Works Efficiently in Learning1998 in the sky ✦
Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition1980 in the sky ✦
Optimal Brain Damage1989 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 ✦
Rectified Linear Units Improve Restricted Boltzmann Machines2010 in the sky ✦
Sequence to Sequence Learning with Neural Networks2014 in the sky ✦
Universal Language Model Fine-Tuning for Text Classification2018 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 ✦