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Support for tf.keras #20
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Yes, It is possible to use tf.keras instead of keras if you're tensorflow
to develop a neural network instead of keras.
Just like the above, the layers and models can also be added ,
tf.keras.models , tf.keras.layers and so on.
…On Thu, Nov 15, 2018 at 5:17 AM mmesensol ***@***.***> wrote:
Is it possible to add support for models created with tf.keras instead of
keras?
Otherwise, do you know of a similar tool with such support?
Thanks
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Thanks. I was able to get it to work by hacking around the ann_visualizer/visualize.py file and replacing keras.* by tf.keras.* in different ways. It wasn't very straightforward, though. Still, I got stuck because ANN Visualizer like that my model's first layer is a Flatten. Is there a way to make it work, or is such a limitation by design? Thanks |
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There is an another alternative of visualizing you neural network
architecture,
https://keras.io/visualization/
The above link is a part of the keras documentation to visualize the neural
network. I'm pretty sure, it can be access using tf.keras as well. You can
give it a try
…On Fri, Nov 16, 2018 at 3:22 AM mmesensol ***@***.***> wrote:
Thanks. I was able to get it to work by hacking around the
ann_visualizer/visualize.py file and replacing keras.* by tf.keras.* in
different ways. It wasn't very straightforward, though.
Still, I got stuck because ANN Visualizer like that my model's first layer
is a Flatten. Is there a way to make it work, or is such a limitation by
design?
Thanks
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Is it possible to add support for models created with tf.keras instead of keras?
Otherwise, do you know of a similar tool with such support?
Thanks
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