empirical risk minimization
2 episodes mention this concept
lexfridmanFeb 15, 2020Complete Statistical Theory of Learning: From Brute Force to Intelligent Principles with Vladimir Vapnik
ScienceStatistical Learning TheoryGeneralization (machine learning)VC-dimension (Vapnik-Chervonenkis dimension)Empirical Risk Minimization (ERM)- lexfridmanSep 27, 2016
Foundations of Deep Learning: Feedforward Neural Networks, Backpropagation, and Training Techniques
TechnologyFeedforward Neural NetworksInput VectorHidden LayersPre-activation
Knowledge Graph
Related concepts — line thickness indicates connection strength. Click any node to explore.
Related concepts
Concepts that appear alongside empirical risk minimization across episodes.
- backpropagation
- l2 regularization (weight decay)
- input vector
- classification
- flow graph
- weights and biases
- vanishing gradient problem
- pre-activation
- dropout
- automatic differentiation
- unsupervised pre-training
- loss function
- hyperbolic tangent (tanh) activation function
- sigmoid activation function
- stochastic gradient descent (sgd)
- rectified linear activation function (relu)
- activation function
- batch normalization
- softmax activation function
- feedforward neural networks