Neural Networks Nomenclature (Glossary)
Activation Function
Dense Layer
Perceptron
Loss Function
Gradient Descent
Epoch
Backpropagation
Learning Rate
Batch
Bias
Weight
Validation
Generalization
Overfitting
Underfitting
Regression
Target/Desired output
Test Set
Mini Batch
Regularization
L1 and L2 Norms
Hyper Parameters
Grid Search
Confusion Matrix
Supervised and Unsupervised Learning
Classification
One-hot
Softmax
Cross Entropy
SVM
MSE and MAE
Dropout
Feature Vector
Minima & Maxima
Linear separability
Global Minima/Maxima
Local Minima/Maxima
Strong Minima/Maxima
Weak Minima/Maxima
Data Augmentation
Tensor
Cost Function
Hidden layer
Initialization
Hyperplane
MNIST
Multilayer Perceptron (MLP)
Normalization
Vanishing Gradient
Exploding Gradient
VGG
Word2vec
Annotation
COCO
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