Output layer

The “final” layer of a neural network. The output layer contains the prediction.¹

Footnotes

developers.google.com/machine-learning/glossary#output_layer

Hidden layer 이 글을 인용: “A layer in a neural network between the input layer (the features) and the output layer (the prediction).”
역전파 “During the backward pass (backpropagation), the system reduces loss by adjusting the weights of all the neurons…”
Embedding layer “An embedding layer enables a neural network to train far more efficiently than training just on the high-dimens…”
Introduction to machine learning problem framing “"Predict the number of views a video will get."”
인공 뉴런 “In machine learning, a distinct unit within a hidden layer of a neural network.”
Web Neural Network API “The Web Neural Network API defines a web-friendly hardware-agnostic abstraction layer that makes use of Machine…”
Forms of prediction in the nervous system 주제어가 겹침
Autism as a disorder of prediction 관련 절: Significance
Evolving artificial neural networks “There has been a great interest in combining learning and evolution with artificial neural networks (ANNs) in r…”
Wide model “We refer to it as "wide" since such a model is a special type of neural network with a large number of inputs t…”
A simple way to prevent neural networks from overfitting “Deep neural nets with a large number of parameters are very powerful machine learning systems.”
Input layer “The layer of a neural network that holds the feature vector.”
모델 (기계학습) “In supervised machine learning, a model takes an example as input and infers a prediction as output.”
합성곱 신경망 “A neural network in which at least one layer is a convolutional layer.”
Pooling (machine learning) 주제어가 겹침
구조화된 출력 주제어가 겹침
순환 신경망 “Specifically, hidden layers from the previous run provide part of the input to the same hidden layer in the nex…”