What is a spatial-filter's in Keras?2019 Community Moderator ElectionProperties for building a Multilayer Perceptron Neural Network using Keras?Neural net layer that preserves spatial informationKeras LSTM: use weights from Keras model to replicate predictions using numpyKeras intuition/guidelines for setting epochs and batch sizeValueError: Error when checking target: expected dense_2 to have shape (1,) but got array with shape (0,)Training Accuracy stuck in KerasValue error in Merging two different models in kerasHow can I solve error “allocation exceeds 10 of system memory” on keras?Architecture help for multivariate input and output LSTM modelsKeras Loss Value Extremely High + Prediction Result same
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What is a spatial-filter's in Keras?
2019 Community Moderator ElectionProperties for building a Multilayer Perceptron Neural Network using Keras?Neural net layer that preserves spatial informationKeras LSTM: use weights from Keras model to replicate predictions using numpyKeras intuition/guidelines for setting epochs and batch sizeValueError: Error when checking target: expected dense_2 to have shape (1,) but got array with shape (0,)Training Accuracy stuck in KerasValue error in Merging two different models in kerasHow can I solve error “allocation exceeds 10 of system memory” on keras?Architecture help for multivariate input and output LSTM modelsKeras Loss Value Extremely High + Prediction Result same
$begingroup$
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=(1, 25), activation='elu',
input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(1, 75), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))
neural-network deep-learning classification keras
asked Mar 21 at 1:08
VSZMVSZM
1013
$endgroup$
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=(1, 25), activation='elu',
input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(1, 75), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))
neural-network deep-learning classification keras
asked Mar 21 at 1:08
VSZMVSZM
1013
$endgroup$
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=(1, 25), activation='elu',
input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(1, 75), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))
neural-network deep-learning classification keras
asked Mar 21 at 1:08
VSZMVSZM
1013
$endgroup$
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=(1, 25), activation='elu',
input_shape=input_shape))
model.add(AveragePooling2D(pool_size=(1, 75), strides=(15, 1)))
model.add(Flatten())
model.add(Dense(num_classes, activation='softmax'))
neural-network deep-learning classification keras
neural-network deep-learning classification keras
asked Mar 21 at 1:08
VSZMVSZM
1013
asked Mar 21 at 1:08
VSZMVSZM
1013
edited Mar 21 at 1:21
VSZM
asked Mar 21 at 1:08
VSZMVSZM
1013
asked Mar 21 at 1:08
VSZMVSZM
1013
asked Mar 21 at 1:08
VSZMVSZM
1013
1013
add a comment |
add a comment |
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