{"id":183737,"date":"2023-01-06T15:12:00","date_gmt":"2023-01-06T20:12:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/traders-insight\/plotting-an-architecture-of-tensorflow-keras-model-by-plot_model\/"},"modified":"2023-02-13T16:29:45","modified_gmt":"2023-02-13T21:29:45","slug":"plotting-an-architecture-of-tensorflow-keras-model-by-plot_model","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/plotting-an-architecture-of-tensorflow-keras-model-by-plot_model\/","title":{"rendered":"Plotting an Architecture of Tensorflow Keras Model by plot_model()"},"content":{"rendered":"\n<p>This post shows how to plot an&nbsp;<strong>architecture flow<\/strong>&nbsp;of Tensorflow Keras model by using&nbsp;<strong>plot_model()<\/strong>&nbsp;function.<\/p>\n\n\n\n<p>To plot the architecture flow of Tensorflow Keras model by using&nbsp;<strong>plot_model()<\/strong>&nbsp;function, two packages should be installed:&nbsp;<strong>graphviz<\/strong>&nbsp;and&nbsp;<strong>pydot<\/strong>.<\/p>\n\n\n\n<p>To install these packages, type the following commands in the&nbsp;<strong>anaconda prompt<\/strong>.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>pip install graphviz\npip install pydot<\/code><\/pre>\n\n\n\n<p>In the Jupyter notebook, we can use&nbsp;<strong>plot_model()<\/strong>&nbsp;function to draw an architecture of the following Keras model.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from keras import layers, models\nfrom keras.utils.vis_utils import plot_model\n \n#1. Modeling\nmodel = models.Sequential()\n \nmodel.add(layers.Dense(128, activation='relu', \n                       input_shape=(256,),       name='HiddenLayer01'))\nmodel.add(layers.Dense(64 , activation='relu',   name='HiddenLayer02'))\nmodel.add(layers.Dense(32 , activation='relu',   name='HiddenLayer03'))\nmodel.add(layers.Dense(1  , activation='softmax',name='OuputLayer'))\n \nmodel.compile(loss='categorical_crossentropy', \n              optimizer = 'adam', metrics=&#91;'accuracy'])\n \n#2. Visualizing\nplot_model(model, show_shapes=True, to_file='model.png')<\/code><\/pre>\n\n\n\n<p>As expected, we can get the following visualization.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large img-twothird\"><img decoding=\"async\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2023\/02\/pre_model-sh-fintech.png\" alt=\"=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/figure>\n\n\n\n<p>If you happen to encounter an error regarding the installation, one possible solution is to use the following&nbsp;<strong>conda<\/strong>&nbsp;command in the&nbsp;<strong>anaconda prompt<\/strong>.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>conda install graphviz\n<\/code><\/pre>\n\n\n\n<p><em>Visit SH Fintech Modeling for additional insights on this topic: <a href=\"https:\/\/kiandlee.blogspot.com\/2022\/12\/python-plotting-architecture-of.html\">https:\/\/kiandlee.blogspot.com\/2022\/12\/python-plotting-architecture-of.html<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This post shows how to plot an\u00a0architecture flow\u00a0of Tensorflow Keras model by using\u00a0plot_model()\u00a0function.<\/p>\n","protected":false},"author":662,"featured_media":183739,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,343,349,338],"tags":[6922,14390,6614,827,14391,595,924],"contributors-categories":[13728],"class_list":{"0":"post-183737","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"category-programing-languages","9":"category-python-development","10":"category-ibkr-quant-news","11":"tag-anaconda","12":"tag-graphviz","13":"tag-jupyter-notebook","14":"tag-keras","15":"tag-pydot","16":"tag-python","17":"tag-tensorflow","18":"contributors-categories-sh-fintech-modeling"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 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