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 vote284 views1 answer
Binarize array python
Python
14 votes312 views4 answers
Django delete
Python Django
0 vote224 views1 answer
Change part of a text file python
Python
1 vote258 views1 answer
What is the size of cover in facebook
Python
25 votes248 views2 answers
Python colored text in console
Python
2 votes226 views4 answers
Sum of array in python
Python
0 vote298 views1 answer
Seaborn bar plot sort for weekday
Python
0 vote299 views2 answers
Python requests json backslash
Python
6 votes265 views2 answers
Tkinter label border
Python
0 vote290 views1 answer
Extrapolate python
Python