tensorflow import error: cannot import keras.layers - Stack ...
stackoverflow.com › questions › 58247036from tf.keras.layers import Lambda. Alternatively, you can directly call Lambda as part of your model with having to explicitly import. A quick example, def linear_transform (x): v1 = tf.Variable (1., name='multiplier') v2 = tf.Variable (0., name='bias') return x*v1 + v2 linear_layer = tf.keras.layers.Lambda (linear_transform) model.add (linear_layer) model.add (tf.keras.layers.Dense (10, activation='relu')) model.add (linear_layer) # Reuses existing Variables.
The Sequential model | TensorFlow Core
https://www.tensorflow.org/guide/keras12.11.2021 · Setup import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers When to use a Sequential model. A Sequential model is appropriate for a plain stack of layers where each layer has exactly one input tensor and one output tensor.. Schematically, the following Sequential model: # Define Sequential model with 3 layers model = keras.Sequential( …