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Machine Learning Glossary: Difference between revisions
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* L1 or L2 norm - Two common norms used for computing accuracy or losses. | * L1 or L2 norm - Two common norms used for computing accuracy or losses. | ||
* Latent code - an input to a neural network which gets optimized during training to represent a particular state or value | |||
* Loss function - Target function which you are attempting to minimize. | * Loss function - Target function which you are attempting to minimize. | ||
* [[Long short-term memory]] (LSTM) - An RNN neural network architecture which has two sets of hidden states for long and short term. | * [[Long short-term memory]] (LSTM) - An RNN neural network architecture which has two sets of hidden states for long and short term. | ||