UNIT-1 B
Deep Learning: Fundamentals
1.
The
Softmax Function
2.
Cross-Entropy
Loss Function
3.
Activation
Functions
4.
Preprocessing
5.
Momentum
6.
Learning
Rate Decay
7.
Weight
Initialization
8.
Regularization
9.
Dropout
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