Deep Neural Networks: Algorithms
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Contents:
Maths
Neurons
Layers
Convolutions
Regions
Fully Connected
Activations
Normalizations
Regularizations
Losses
Contrastive Loss
Hinge Loss
Euclidean Loss
Infogain Loss
Sigmoid Cross Entropy Loss
Softmax Loss
Multinomial Logistic Loss
Smooth L1 Loss
Gradients
Networks
Solvers
Models
Applications
Deep Neural Networks: Algorithms
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Multinomial Logistic Loss
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Multinomial Logistic Loss
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