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2. CNN Architecture. . 1.
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1-Convolutional layer 2-pooling layer 3-ReLU layer 3.1-The sigmoid function 3.2-hyperbolic tangent 4-Fully connected layer/output layer(the classification layer).
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2. CNN Architecture. 1-Convolutional layer output=.
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2. CNN Architecture. 2-pooling layer 2.1-MAX Pooling 2.2 Average Pooling.
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2. CNN Architecture. 3-ReLU layer Some of the ReLU variants Softplus( SmoothReLU ) Noisy ReLU Parametric ReLU ExponentialReLU(ELU) ).
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2. CNN Architecture. 4-Fully connected layer/output layer (the classification layer) 4.1 softmax.
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2. CNN Architecture. Overview of some models 1-LeNet-5 CNN_based model 2-Stacked Denoising Autoencoders network(SDAE) 3- Deep Belief Network (DBN) 4-Artificial neural network(ANN) 5-Custom CNN 6-VGG 19 NETWORK.