Densenet python keras

Dense layer keras

>>> # Create a `Sequential` model and add a Dense layer as the first layer.  
>>> model = tf.keras.models.Sequential()
>>> model.add(tf.keras.Input(shape=(16,)))
>>> model.add(tf.keras.layers.Dense(32, activation='relu'))
>>> # Now the model will take as input arrays of shape (None, 16)  
>>> # and output arrays of shape (None, 32).  
>>> # Note that after the first layer, you don't need to specify  
>>> # the size of the input anymore:  
>>> model.add(tf.keras.layers.Dense(32))
>>> model.output_shape
(None, 32)

Source: keras.io

Densenet python keras

tf.keras.applications.DenseNet169(
    include_top=True,
    weights="imagenet",
    input_tensor=None,
    input_shape=None,
    pooling=None,
    classes=1000,
)

Source: keras.io

Similar codes

1 vote324 views4 answers
How to input in a list in python
Python
4 votes302 views1 answer
Python read dictionary from file
Python
1 vote320 views1 answer
Polynomial regression using scikit-learn library
Python
0 vote332 views1 answer
Pug compile exploit
Python
0 vote325 views1 answer
Evaluate value of polynomial in python code
Python
0 vote356 views1 answer
How do i re-restablish the third reich
Python
0 vote336 views1 answer
Python was not found;
Python
11 votes313 views2 answers
Python code to wait
Python
0 vote347 views2 answers
Access column pandas
Python
0 vote336 views1 answer
Labelencoder update
Python