Winner-take-all in action selection
Definition
Winner-take-all (WTA) is a competitive process used in neural networks and reinforcement …
Neural_networks
Layer Normalization
Definition
Layer Normalization stabilizes training by reducing internal covariate shift, …
Highway network
Definition
Highway Networks are designed to address the vanishing gradient problem in deep learning …
Hidden Layer
Definition
A hidden layer consists of neurons that receive inputs from previous layers, apply …
Epoch
Definition
In machine learning, an epoch represents a single iteration over the entire training …
Dense
Definition
In neural networks, ‘dense’ refers to fully connected layers where each …
Continual Learning
Definition
Continual learning, also known as lifelong learning, enables neural networks to acquire …
Actor-critic algorithm
Definition
The actor-critic algorithm employs two components: the actor, which updates the policy to …
A Logical Calculus of the Ideas Immanent in Nervous Activity
Definition
This foundational paper proposed a mathematical model of neural networks, demonstrating …
Decoder
Definition
In sequence-to-sequence models, the decoder takes the context vector produced by the …
Activation Function
Definition
An activation function introduces non-linearity into a neural network, allowing it to …
Convolutional Neural Network
Definition
Convolutional Neural Networks (CNNs) are designed to automatically and adaptively learn …
Deep Learning
Definition
Deep learning algorithms attempt to mimic the human brain’s analytical and learning …
Backpropagation
Definition
Backpropagation, short for backward propagation of errors, is a method used in artificial …