Deep Neural Networks: Algorithms
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Contents:
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Layers
Convolutions
Regions
Fully Connected
Activations
Normalizations
Regularizations
Losses
Gradients
Stochastic Gradient Descent
Ada Delta
Adaptive Gradient
Adam
Nesterov’s Accelerated Gradient
RMS Prop
Networks
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Models
Applications
Deep Neural Networks: Algorithms
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Adaptive Gradient
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Adaptive Gradient
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