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

10 votes199 views4 answers
How to print all items in a list python
Python
2 votes240 views3 answers
How to set indian timezone in django
Python Django
12 votes184 views3 answers
Convert string to boolean python
Python
0 vote369 views1 answer
Python correlation between features and target
Python
6 votes190 views1 answer
Change dataframe value by index
Python
2 votes211 views2 answers
How to convert csv into list
Python
0 vote222 views1 answer
Pandas view full dataframe
Python
3 votes230 views1 answer
Lambda with two columns pandas
Python
1 vote279 views1 answer
Python dont exit script after print
Python
26 votes207 views2 answers
Append write python
Python