Subject Details
Dept     : CSE
Sem      : 6
Regul    : R2019
Faculty : Dr.K.Sangeetha
phone  : NIL
E-mail  : sangithaprakash@gmail.com
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Lecture Notes

UNIT 1:
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Basic Concept of Neurons
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Feed Forward Neural Network
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Multilayer Neural Network
UNIT 2:
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Deep Neural Networks
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Gradient Descent –Differentiation Algorithms
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Vanishing Gradient Problem
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Rectified Linear Unit (ReLU)
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Heuristics for Avoiding Bad Local Minima
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Heuristics for faster training
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Nestors Accelerated Gradient
UNIT 3:
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Convolutional Neural Network
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Convolution Layer
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Pooling Layer
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Hyperparameter Activation Function
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Recurrent and Recursive Nets
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Recurrent Neural Networks
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Recursive Neural Networks
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