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What is the default kernel-size, Zero-padding and stride for keras.layers.Conv2D?
What are the default Kernel-Size, Zero-Padding, and Stride arguments in Conv2D (keras.layers.Conv2D)? What happens if these arguments are not specified?
tensorflow keras deep-learning conv-neural-network zero-padding
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
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What are the default Kernel-Size, Zero-Padding, and Stride arguments in Conv2D (keras.layers.Conv2D)? What happens if these arguments are not specified?
tensorflow keras deep-learning conv-neural-network zero-padding
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
add a comment |
What are the default Kernel-Size, Zero-Padding, and Stride arguments in Conv2D (keras.layers.Conv2D)? What happens if these arguments are not specified?
tensorflow keras deep-learning conv-neural-network zero-padding
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
What are the default Kernel-Size, Zero-Padding, and Stride arguments in Conv2D (keras.layers.Conv2D)? What happens if these arguments are not specified?
tensorflow keras deep-learning conv-neural-network zero-padding
tensorflow keras deep-learning conv-neural-network zero-padding
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
asked Nov 21 '18 at 9:59
Abhishek SrikanthAbhishek Srikanth
31
31
add a comment |
add a comment |
1 Answer
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You can find the documentation here: https://keras.io/layers/convolutional/
In python you can give default values for parameters of a function, If you don't specify these parameters while calling the function, defaults are used instead.
In the link above you'll find that Conv2D has the parameters:
filters, kernel_size, strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None
only filters and kernel_size parameters must be given, others are optional or has default values next to them.
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
add a comment |
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1 Answer
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active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can find the documentation here: https://keras.io/layers/convolutional/
In python you can give default values for parameters of a function, If you don't specify these parameters while calling the function, defaults are used instead.
In the link above you'll find that Conv2D has the parameters:
filters, kernel_size, strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None
only filters and kernel_size parameters must be given, others are optional or has default values next to them.
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
add a comment |
You can find the documentation here: https://keras.io/layers/convolutional/
In python you can give default values for parameters of a function, If you don't specify these parameters while calling the function, defaults are used instead.
In the link above you'll find that Conv2D has the parameters:
filters, kernel_size, strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None
only filters and kernel_size parameters must be given, others are optional or has default values next to them.
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
add a comment |
You can find the documentation here: https://keras.io/layers/convolutional/
In python you can give default values for parameters of a function, If you don't specify these parameters while calling the function, defaults are used instead.
In the link above you'll find that Conv2D has the parameters:
filters, kernel_size, strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None
only filters and kernel_size parameters must be given, others are optional or has default values next to them.
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
You can find the documentation here: https://keras.io/layers/convolutional/
In python you can give default values for parameters of a function, If you don't specify these parameters while calling the function, defaults are used instead.
In the link above you'll find that Conv2D has the parameters:
filters, kernel_size, strides=(1, 1), padding='valid', data_format=None, dilation_rate=(1, 1), activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zeros', kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None
only filters and kernel_size parameters must be given, others are optional or has default values next to them.
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
answered Nov 21 '18 at 10:14
Mete Han KahramanMete Han Kahraman
41017
41017
add a comment |
add a comment |
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