Deep Neural Networks: Algorithms
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Contents:
Maths
Neurons
Layers
Convolutions
Regions
Fully Connected
Activations
Identity
Step
Piecewise Linear
Sigmoid
Complementary Log Log
Bipolar
Bipolar Sigmoid
TanH
LeCun’s TanH
Hard TanH
Absolute
Rectifier
Modifications of ReLU
Smooth Rectifier
Logit
Probit
Cosine
Softmax
Maxout
(RBF) Gaussian
(RBF) Multiquadratic
(RBF) Inverse Multiquadratic
References
Normalizations
Regularizations
Losses
Gradients
Networks
Solvers
Models
Applications
Deep Neural Networks: Algorithms
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(RBF) Inverse Multiquadratic
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