visualkeras: EfficientNetV2 example#
An example showing the visualkeras function
used by a tf.keras.Model model.
9 # Authors: The scikit-plots developers
10 # SPDX-License-Identifier: BSD-3-Clause
pip install protobuf==5.29.4
15 import tensorflow as tf
16
17 # Clear any session to reset the state of TensorFlow/Keras
18 tf.keras.backend.clear_session()
19
20 from scikitplot import visualkeras
23 model = tf.keras.applications.EfficientNetV2B0(
24 include_top=True,
25 weights=None, # "imagenet" or 'path/'
26 input_tensor=None,
27 input_shape=None,
28 pooling=None,
29 classes=1000,
30 classifier_activation="softmax",
31 name="efficientnetv2-b0",
32 )
33 # model.summary()
36 img_efficientnetv2 = visualkeras.layered_view(
37 model,
38 legend=True,
39 min_z=1,
40 min_xy=1,
41 max_z=4096,
42 max_xy=4096,
43 scale_z=0.01,
44 scale_xy=10,
45 font={"font_size": 99},
46 # to_file="result_images/efficientnetv2-b0.png",
47 save_fig=True,
48 save_fig_filename="efficientnetv2-b0.png",
49 )
50 img_efficientnetv2
<matplotlib.image.AxesImage object at 0x7fcf5433ae10>
63 # model = tf.keras.applications.EfficientNetV2B1(
64 # include_top=True,
65 # weights=None, # "imagenet" or 'path/'
66 # input_tensor=None,
67 # input_shape=None,
68 # pooling=None,
69 # classes=1000,
70 # classifier_activation="softmax",
71 # name="efficientnetv2-b1",
72 # )
73 # visualkeras.layered_view(
74 # model,
75 # legend=True,
76 # show_dimension=True,
77 # to_file='result_images/efficientnetv2-b1.png',
78 # )
79
80 # model = tf.keras.applications.EfficientNetV2B2(
81 # include_top=True,
82 # weights=None, # "imagenet" or 'path/'
83 # input_tensor=None,
84 # input_shape=None,
85 # pooling=None,
86 # classes=1000,
87 # classifier_activation="softmax",
88 # name="efficientnetv2-b2",
89 # )
90 # visualkeras.layered_view(
91 # model,
92 # legend=True,
93 # show_dimension=True,
94 # to_file='result_images/efficientnetv2-b2.png',
95 # )
96
97 # model = tf.keras.applications.EfficientNetV2B3(
98 # include_top=True,
99 # weights=None, # "imagenet" or 'path/'
100 # input_tensor=None,
101 # input_shape=None,
102 # pooling=None,
103 # classes=1000,
104 # classifier_activation="softmax",
105 # name="efficientnetv2-b3",
106 # )
107 # visualkeras.layered_view(
108 # model,
109 # legend=True,
110 # show_dimension=True,
111 # to_file='result_images/efficientnetv2-b3.png',
112 # )
113
114 # model = tf.keras.applications.EfficientNetV2S(
115 # include_top=True,
116 # weights=None, # "imagenet" or 'path/'
117 # input_tensor=None,
118 # input_shape=None,
119 # pooling=None,
120 # classes=1000,
121 # classifier_activation="softmax",
122 # name="efficientnetv2-s",
123 # )
124 # visualkeras.layered_view(
125 # model,
126 # legend=True,
127 # show_dimension=True,
128 # to_file='result_images/efficientnetv2-s.png',
129 # )
130
131 # model = tf.keras.applications.EfficientNetV2M(
132 # include_top=True,
133 # weights=None, # "imagenet" or 'path/'
134 # input_tensor=None,
135 # input_shape=None,
136 # pooling=None,
137 # classes=1000,
138 # classifier_activation="softmax",
139 # name="efficientnetv2-m",
140 # )
141 # visualkeras.layered_view(
142 # model,
143 # legend=True,
144 # show_dimension=True,
145 # to_file='result_images/efficientnetv2-m.png',
146 # )
147
148 # model = tf.keras.applications.EfficientNetV2L(
149 # include_top=True,
150 # weights=None, # "imagenet" or 'path/'
151 # input_tensor=None,
152 # input_shape=None,
153 # pooling=None,
154 # classes=1000,
155 # classifier_activation="softmax",
156 # name="efficientnetv2-l",
157 # )
158 # visualkeras.layered_view(
159 # model,
160 # legend=True,
161 # show_dimension=True,
162 # to_file='result_images/efficientnetv2-l.png',
163 # )
Total running time of the script: (0 minutes 5.829 seconds)
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