.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/visualkeras_CNN/plot_vgg.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_visualkeras_CNN_plot_vgg.py>`
        to download the full example code. or to run this example in your browser via JupyterLite or Binder

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_visualkeras_CNN_plot_vgg.py:


visualkeras: custom VGG example
==========================================

An example showing the :py:func:`~scikitplot.visualkeras` function
used by a :py:class:`~tensorflow.keras.Model` model.

.. GENERATED FROM PYTHON SOURCE LINES 8-13

.. code-block:: Python
   :lineno-start: 9


    # Authors: The scikit-plots developers
    # SPDX-License-Identifier: BSD-3-Clause









.. GENERATED FROM PYTHON SOURCE LINES 14-15

pip install protobuf==5.29.4

.. GENERATED FROM PYTHON SOURCE LINES 15-22

.. code-block:: Python
   :lineno-start: 15

    import tensorflow as tf

    # Clear any session to reset the state of TensorFlow/Keras
    tf.keras.backend.clear_session()

    from scikitplot import visualkeras








.. GENERATED FROM PYTHON SOURCE LINES 23-40

model = tf.keras.applications.VGG16(
    include_top=True,
    weights=None,  # "imagenet" or 'path/'
    input_tensor=None,
    input_shape=None,
    pooling=None,
    classes=1000,
    classifier_activation="softmax",
    name="vgg16",
)
model.summary()
visualkeras.layered_view(
  model,
  legend=True,
  show_dimension=True,
  to_file='result_images/vgg16.png',
)

.. GENERATED FROM PYTHON SOURCE LINES 42-54

.. code-block:: Python
   :lineno-start: 42

    model = tf.keras.applications.VGG19(
        include_top=True,
        weights=None,  # "imagenet" or 'path/'
        input_tensor=None,
        input_shape=None,
        pooling=None,
        classes=1000,
        classifier_activation="softmax",
        name="vgg19",
    )
    # model.summary()








.. GENERATED FROM PYTHON SOURCE LINES 55-75

.. code-block:: Python
   :lineno-start: 55

    img_vgg19 = visualkeras.layered_view(
        model,
        legend=True,
        show_dimension=True,
        min_z=1,
        min_xy=1,
        max_z=4096,
        max_xy=4096,
        scale_z=0.5,
        scale_xy=11,
        font={"font_size": 199},
        # to_file="result_images/vgg19.png",
        save_fig=True,
        save_fig_filename="vgg19.png",
        overwrite=False,
        add_timestamp=True,
        verbose=True,
    )
    img_vgg19




.. image-sg:: /auto_examples/visualkeras_CNN/images/sphx_glr_plot_vgg_001.png
   :alt: plot vgg
   :srcset: /auto_examples/visualkeras_CNN/images/sphx_glr_plot_vgg_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    [INFO] Saving path to: /home/circleci/repo/galleries/examples/visualkeras_CNN/result_images/vgg19_20250627_091001Z.png

    <matplotlib.image.AxesImage object at 0x7fa0dc392c50>



.. GENERATED FROM PYTHON SOURCE LINES 76-84

.. tags::

   model-type: classification
   model-workflow: model building
   plot-type: visualkeras
   domain: neural network
   level: beginner
   purpose: showcase


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 13.730 seconds)


.. _sphx_glr_download_auto_examples_visualkeras_CNN_plot_vgg.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/scikit-plots/scikit-plots/maintenance/0...X?urlpath=lab/tree/notebooks/auto_examples/visualkeras_CNN/plot_vgg.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: lite-badge

      .. image:: images/jupyterlite_badge_logo.svg
        :target: ../../lite/lab/index.html?path=auto_examples/visualkeras_CNN/plot_vgg.ipynb
        :alt: Launch JupyterLite
        :width: 150 px

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_vgg.ipynb <plot_vgg.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_vgg.py <plot_vgg.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_vgg.zip <plot_vgg.zip>`


.. include:: plot_vgg.recommendations


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_