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What is a spatial-filter's in Keras?

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0

$begingroup$

There is a topology I am trying to recreate in Keras. One thing I do not know exactly is what is the Spatial Filter here?

This is what I have so far:

input_shape = (64, 256, 1)
num_classes = 2
batch_size=128
epochs=50

model = Sequential()
model.add(Conv2D(40, kernel_size=(25, 1), activation='elu',
 input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(75, 1), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))

neural-network deep-learning classification keras

share

asked 6 mins ago

VSZMVSZM

1011

New contributor

VSZM 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 | 

0

$begingroup$

There is a topology I am trying to recreate in Keras. One thing I do not know exactly is what is the Spatial Filter here?

This is what I have so far:

input_shape = (64, 256, 1)
num_classes = 2
batch_size=128
epochs=50

model = Sequential()
model.add(Conv2D(40, kernel_size=(25, 1), activation='elu',
 input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(75, 1), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))

neural-network deep-learning classification keras

share

asked 6 mins ago

VSZMVSZM

1011

New contributor

VSZM 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 | 

$begingroup$

There is a topology I am trying to recreate in Keras. One thing I do not know exactly is what is the Spatial Filter here?

This is what I have so far:

input_shape = (64, 256, 1)
num_classes = 2
batch_size=128
epochs=50

model = Sequential()
model.add(Conv2D(40, kernel_size=(25, 1), activation='elu',
 input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(75, 1), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))

neural-network deep-learning classification keras

share

asked 6 mins ago

VSZMVSZM

1011

New contributor

VSZM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

input_shape = (64, 256, 1)
num_classes = 2
batch_size=128
epochs=50

model = Sequential()
model.add(Conv2D(40, kernel_size=(25, 1), activation='elu',
 input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(75, 1), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))

share

asked 6 mins ago

VSZMVSZM

1011

New contributor

VSZM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share

asked 6 mins ago

VSZMVSZM

1011

New contributor

VSZM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 6 mins ago

VSZMVSZM

1011

New contributor

VSZM is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 6 mins ago

VSZMVSZM

1011