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Turn a nD tensor into a 2D tensor with same 0th dimension.
tf.keras.backend.batch_flatten( x )
In other words, it flattens each data samples of a batch.
Arguments | |
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x | A tensor or variable. |
Returns | |
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A tensor. |
Flattening a 3D tensor to 2D by collapsing the last dimension.
from tensorflow.keras import backend as K x_batch = K.ones(shape=(2, 3, 4, 5)) x_batch_flatten = K.batch_flatten(x_batch) K.int_shape(x_batch_flatten) (2, 60)
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/backend/batch_flatten