Keras: AttributeError: 'model' object has no attribute 'layers'

[farazBhatti]

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[farazBhatti]

I am trying to get individual layer information using model.layers, but keep getting this error message. Is there any other way through which I can get access to individual layers of keras functional model. The model has also some custom layers in it. model.summary() works fine.

[ymodak]

You can try accessing the layer using this, model.layers[i].output where [i] is the index of the layer. Take a look at following toy example;

import tensorflow as tf
mnist = tf.keras.datasets.mnist

(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0

model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(512, activation=tf.nn.relu),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation=tf.nn.softmax)
])

model.layers[0].output

Output:

<tf.Tensor 'flatten_15/Reshape:0' shape=(?, 784) dtype=float32>

[farazBhatti]

Thanks @ymodak model.layers[0].output solved my problem

[ymodak]

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