Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
keras batch normalization 2d | 0.05 | 0.1 | 8043 | 29 | 28 |
keras | 1.4 | 0.7 | 3544 | 48 | 5 |
batch | 1.08 | 0.1 | 3405 | 87 | 5 |
normalization | 0.46 | 0.8 | 5831 | 25 | 13 |
2d | 1.78 | 0.7 | 7090 | 43 | 2 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
keras batch normalization 1d | 0.24 | 0.6 | 385 | 28 |
tf keras batch normalization | 1.2 | 0.8 | 7243 | 80 |
how to import batch normalization in keras | 1.27 | 0.6 | 8670 | 18 |
normalization layer in keras | 0.58 | 0.6 | 5692 | 12 |
tensorflow keras batch normalization | 1.24 | 0.8 | 2593 | 81 |
keras.layers.normalization.batchnormalization | 0.12 | 0.7 | 5937 | 19 |
tf.keras.layers.batch_normalization | 1.95 | 0.4 | 1088 | 89 |
keras_layer_normalization | 1.23 | 0.7 | 5951 | 43 |
keras.batchnormalization | 1.42 | 0.2 | 6137 | 73 |
model add keras layers batchnormalization | 1.92 | 0.2 | 6134 | 89 |
tf.keras.layers.normalization | 0.35 | 0.8 | 8584 | 68 |
keras.utils.normalize | 0.04 | 0.9 | 9597 | 79 |
from keras.layers.normalization import | 1.07 | 0.6 | 9447 | 73 |
batch normalization keras python | 0.34 | 0.4 | 5850 | 76 |
keras conv2d batch normalization | 1.47 | 0.3 | 2163 | 100 |
keras model predict batch size | 0.41 | 0.9 | 5050 | 80 |
keras lstm layer normalization | 0.74 | 0.5 | 6930 | 70 |