How do I find output size of a network?2019 Community Moderator ElectionWhen to use a Sigmoid function and when to use ReLu in a Convolutional Neural NetworkUnderstand clearly the figure: Illustration of a Convolutional Neural Network (CNN) architecture for sentence classificationHow to make output dimensions match input dimensions in CNN?Are Convolutional Neural Networks a one model, multiple output layers.?What is the input size of Alex netWhat kind of neural network structure is suitable for image to image learning?What is meant by 'training patch size'?Intuitive explanation of Convolutional layers in Deep CNNEncoder Decoder networks with varying image sizes
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How do I find output size of a network?
2019 Community Moderator ElectionWhen to use a Sigmoid function and when to use ReLu in a Convolutional Neural NetworkUnderstand clearly the figure: Illustration of a Convolutional Neural Network (CNN) architecture for sentence classificationHow to make output dimensions match input dimensions in CNN?Are Convolutional Neural Networks a one model, multiple output layers.?What is the input size of Alex netWhat kind of neural network structure is suitable for image to image learning?What is meant by 'training patch size'?Intuitive explanation of Convolutional layers in Deep CNNEncoder Decoder networks with varying image sizes
$begingroup$
The input to a convolutional layer of a neural network is an image of size $128times 128times 3.$
$ 40$ convolutional filters of size $5times 5$ are applied to it. Would you get an output? If no then why not? If yes, what will be the output size?
machine-learning cnn matrix
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
asked Feb 19 at 13:38
SunnySunny
1
$endgroup$
add a comment |
$begingroup$
The input to a convolutional layer of a neural network is an image of size $128times 128times 3.$
$ 40$ convolutional filters of size $5times 5$ are applied to it. Would you get an output? If no then why not? If yes, what will be the output size?
machine-learning cnn matrix
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
asked Feb 19 at 13:38
SunnySunny
1
$endgroup$
add a comment |
$begingroup$
The input to a convolutional layer of a neural network is an image of size $128times 128times 3.$
$ 40$ convolutional filters of size $5times 5$ are applied to it. Would you get an output? If no then why not? If yes, what will be the output size?
machine-learning cnn matrix
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
asked Feb 19 at 13:38
SunnySunny
1
$endgroup$
The input to a convolutional layer of a neural network is an image of size $128times 128times 3.$
$ 40$ convolutional filters of size $5times 5$ are applied to it. Would you get an output? If no then why not? If yes, what will be the output size?
machine-learning cnn matrix
machine-learning cnn matrix
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
asked Feb 19 at 13:38
SunnySunny
1
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
asked Feb 19 at 13:38
SunnySunny
1
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
edited Feb 19 at 13:41
Siong Thye Goh
1,387520
1,387520
asked Feb 19 at 13:38
SunnySunny
1
asked Feb 19 at 13:38
SunnySunny
1
asked Feb 19 at 13:38
SunnySunny
1
1
add a comment |
add a comment |
1 Answer
1
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$begingroup$
Yes, and it would be $124 times 124 times40$.
To calculate the output dimensions:
$(dim_x - filterdim_x + 1) times (dim_y - filterdim_y + 1) times filters$
in your case:
$(128 - 5 + 1) times (128 - 5 + 1) times 40 = 124 times 124 times40$
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
$endgroup$
add a comment |
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$begingroup$
Yes, and it would be $124 times 124 times40$.
To calculate the output dimensions:
$(dim_x - filterdim_x + 1) times (dim_y - filterdim_y + 1) times filters$
in your case:
$(128 - 5 + 1) times (128 - 5 + 1) times 40 = 124 times 124 times40$
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
$endgroup$
add a comment |
$begingroup$
Yes, and it would be $124 times 124 times40$.
To calculate the output dimensions:
$(dim_x - filterdim_x + 1) times (dim_y - filterdim_y + 1) times filters$
in your case:
$(128 - 5 + 1) times (128 - 5 + 1) times 40 = 124 times 124 times40$
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
$endgroup$
add a comment |
$begingroup$
Yes, and it would be $124 times 124 times40$.
To calculate the output dimensions:
$(dim_x - filterdim_x + 1) times (dim_y - filterdim_y + 1) times filters$
in your case:
$(128 - 5 + 1) times (128 - 5 + 1) times 40 = 124 times 124 times40$
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
$endgroup$
Yes, and it would be $124 times 124 times40$.
To calculate the output dimensions:
$(dim_x - filterdim_x + 1) times (dim_y - filterdim_y + 1) times filters$
in your case:
$(128 - 5 + 1) times (128 - 5 + 1) times 40 = 124 times 124 times40$
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
answered Feb 19 at 14:24
Simon LarssonSimon Larsson
53812
53812
add a comment |
add a comment |
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