Comments (3)
import tensorflow as tf
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.models import Model
from tensorflow.keras.applications import EfficientNetB0
Example usage of BatchNormalization
inputs = tf.keras.Input(shape=(32, 32, 3))
x = EfficientNetB0(include_top=False, input_tensor=inputs)
x = BatchNormalization()(x.output)
outputs = tf.keras.layers.Dense(10, activation='softmax')(x)
model = Model(inputs=inputs, outputs=outputs)
Rest of your code
from tensorflow.
import tensorflow as tf
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.models import Model
from tensorflow.keras.applications import EfficientNetB0Example usage of BatchNormalization
inputs = tf.keras.Input(shape=(32, 32, 3))
x = EfficientNetB0(include_top=False, input_tensor=inputs)
x = BatchNormalization()(x.output)
outputs = tf.keras.layers.Dense(10, activation='softmax')(x)
model = Model(inputs=inputs, outputs=outputs)Rest of your code
Thanks for the response.
Could you please check the link mentioned above to reproduce the issue?
from tensorflow.
Following this tutorial i also ran into the same problem.
https://blog.roboflow.com/train-a-tensorflow2-object-detection-model/
It points to this Colab:
https://colab.research.google.com/drive/1sLqFKVV94wm-lglFq_0kGo2ciM0kecWD
And after a couple of steps (not Roboflow related part of the setup). It crashes on this step:
from tensorflow.
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from tensorflow.