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

0 vote282 views1 answer
Python get item from set
Python
0 vote316 views1 answer
Pytorch older versions
Python
0 vote298 views1 answer
List comprehension python one line
Python
16 votes314 views6 answers
Print function python
Python
0 vote298 views1 answer
How to maximize the screen in selenium
Python
11 votes296 views3 answers
Group by count dataframe
Python
0 vote288 views1 answer
Django insert bulk data
Python
11 votes285 views6 answers
Start python server
Python
1 vote325 views1 answer
AttributeError: 'ElementTree' object has no attribute 'getiterator'
Python
1 vote303 views1 answer
Creating an interface tkinter
Python