Name: 2. CNN Architecture
Uploaded: 2021-10-28
Duration: 2 min 1 s
Description: 2. CNN Architecture. . Convl Conv2 Conv3 æ3x3 Conv4 64@3x3 64@3x3 s M ax-poolhg M ax-pooing Max-poolhg Input Layer Feature Extractbn Layer M ax-poolhg 256 Ckssificatbn Layer.

2. CNN Architecture. . Convl Conv2 Conv3 æ3x3 Conv4 64@3x3 64@3x3 s M ax-poolhg M ax-pooing Max-poolhg Input Layer Feature Extractbn Layer M ax-poolhg 256 Ckssificatbn Layer. 

Scene 1

Convl
Conv2
Conv3
æ3x3
Conv4
64@3x3
64@3x3
s
M ax-poolhg
M ax-pooing
Max-poolhg
Input Layer
Feature Extractbn Layer
M ax-poolhg
256
Ckssificatbn Layer

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). 

Scene 2

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)

2. CNN Architecture. 1-Convolutional layer output=. 

Scene 3

2. CNN Architecture. 2-pooling layer 2.1-MAX Pooling 2.2 Average Pooling. 

Scene 4

2-pooling layer 	 2.1-MAX Pooling 	2.2 Average Pooling

2. CNN Architecture. 3-ReLU layer Some of the ReLU variants Softplus(SmoothReLU) Noisy ReLU Parametric ReLU ExponentialReLU(ELU). 

Scene 5

3-ReLU layer Some of the ReLU variants Softplus(SmoothReLU)		Noisy ReLU	        Parametric ReLU		ExponentialReLU(ELU)

2. CNN Architecture. 4-Fully connected layer/output layer (the classification layer) 4.1 softmax. 

Scene 6

4-Fully connected layer/output layer (the classification layer)  	4.1 softmax

n2 channels I •
(4 x 4 x n2)
dropout)
OUTPUT

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. 

Scene 7

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