Deep Neural Networks: Algorithms
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Contents:
Maths
Neurons
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
Solvers
Models
Applications
Deep Neural Networks: Algorithms
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Ada Delta
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