Understanding of Convolutional Neural Network (CNN)
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I am a beginner in ML and I would like to learn CNN with Math behind. If you suggest any good blog or documentation which help me get depth knowledge about CNN.
machine-learning cnn
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Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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I am a beginner in ML and I would like to learn CNN with Math behind. If you suggest any good blog or documentation which help me get depth knowledge about CNN.
machine-learning cnn
New contributor
Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Welcome to our community :) The best start point can be pr. Ng's deep learning course on Coursera. For math part, you can read the 10th chapter I guess or maybe 9th chapter of deep learning book written by pr. Bengio and dr. Goodflow. You can also track theCNNtag in our community.
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– Media
yesterday
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Link to Deep Learning Book by Goodfellow et al
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– hazrmard
23 hours ago
add a comment |
$begingroup$
I am a beginner in ML and I would like to learn CNN with Math behind. If you suggest any good blog or documentation which help me get depth knowledge about CNN.
machine-learning cnn
New contributor
Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am a beginner in ML and I would like to learn CNN with Math behind. If you suggest any good blog or documentation which help me get depth knowledge about CNN.
machine-learning cnn
machine-learning cnn
New contributor
Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Sandip GoswamiSandip Goswami
61
61
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Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Sandip Goswami is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Welcome to our community :) The best start point can be pr. Ng's deep learning course on Coursera. For math part, you can read the 10th chapter I guess or maybe 9th chapter of deep learning book written by pr. Bengio and dr. Goodflow. You can also track theCNNtag in our community.
$endgroup$
– Media
yesterday
$begingroup$
Link to Deep Learning Book by Goodfellow et al
$endgroup$
– hazrmard
23 hours ago
add a comment |
$begingroup$
Welcome to our community :) The best start point can be pr. Ng's deep learning course on Coursera. For math part, you can read the 10th chapter I guess or maybe 9th chapter of deep learning book written by pr. Bengio and dr. Goodflow. You can also track theCNNtag in our community.
$endgroup$
– Media
yesterday
$begingroup$
Link to Deep Learning Book by Goodfellow et al
$endgroup$
– hazrmard
23 hours ago
$begingroup$
Welcome to our community :) The best start point can be pr. Ng's deep learning course on Coursera. For math part, you can read the 10th chapter I guess or maybe 9th chapter of deep learning book written by pr. Bengio and dr. Goodflow. You can also track the
CNN tag in our community.$endgroup$
– Media
yesterday
$begingroup$
Welcome to our community :) The best start point can be pr. Ng's deep learning course on Coursera. For math part, you can read the 10th chapter I guess or maybe 9th chapter of deep learning book written by pr. Bengio and dr. Goodflow. You can also track the
CNN tag in our community.$endgroup$
– Media
yesterday
$begingroup$
Link to Deep Learning Book by Goodfellow et al
$endgroup$
– hazrmard
23 hours ago
$begingroup$
Link to Deep Learning Book by Goodfellow et al
$endgroup$
– hazrmard
23 hours ago
add a comment |
1 Answer
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Following blog posts would be helpful for Visualization and intuitive understanding:
Understanding Convolutions - To understand the basic operation involved, Convolution in 1-D setting
Conv Nets: A Modular Perspective - To understand its usage in construction of CNN ( 2-D setting )
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programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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1 Answer
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1 Answer
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active
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$begingroup$
Following blog posts would be helpful for Visualization and intuitive understanding:
Understanding Convolutions - To understand the basic operation involved, Convolution in 1-D setting
Conv Nets: A Modular Perspective - To understand its usage in construction of CNN ( 2-D setting )
New contributor
programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Following blog posts would be helpful for Visualization and intuitive understanding:
Understanding Convolutions - To understand the basic operation involved, Convolution in 1-D setting
Conv Nets: A Modular Perspective - To understand its usage in construction of CNN ( 2-D setting )
New contributor
programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Following blog posts would be helpful for Visualization and intuitive understanding:
Understanding Convolutions - To understand the basic operation involved, Convolution in 1-D setting
Conv Nets: A Modular Perspective - To understand its usage in construction of CNN ( 2-D setting )
New contributor
programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Following blog posts would be helpful for Visualization and intuitive understanding:
Understanding Convolutions - To understand the basic operation involved, Convolution in 1-D setting
Conv Nets: A Modular Perspective - To understand its usage in construction of CNN ( 2-D setting )
New contributor
programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 23 hours ago
programmerprogrammer
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programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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programmer is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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Sandip Goswami is a new contributor. Be nice, and check out our Code of Conduct.
Sandip Goswami is a new contributor. Be nice, and check out our Code of Conduct.
Sandip Goswami is a new contributor. Be nice, and check out our Code of Conduct.
Sandip Goswami is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Welcome to our community :) The best start point can be pr. Ng's deep learning course on Coursera. For math part, you can read the 10th chapter I guess or maybe 9th chapter of deep learning book written by pr. Bengio and dr. Goodflow. You can also track the
CNNtag in our community.$endgroup$
– Media
yesterday
$begingroup$
Link to Deep Learning Book by Goodfellow et al
$endgroup$
– hazrmard
23 hours ago