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i want to use the trained model to predict the class of a test image without sending the label, is it possible?
currently, the implementation required sending the Keras "predict" function a tuble …
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The following command works on standard Google Colab notebook:
keras.utils.plot_model(model,"cifar_10.png",show_shapes=True)
It does not run on the following system, producing the error below:
…
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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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## 🚀 Feature
I am wondering if there is a way to plot the calculation-graph/neural-network itself? S
### Motivation
The layer visualization can make the understanding of what is going on incr…
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Hello, I have problem with using Attentions visualization (GradCam++ in that case). I have preprocessing layer in my model, which rescales images like that: `layers.Rescaling(1./255, input_shape=(cons…
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## 🚀 Feature
Progress tracking during a semantic segmentation task.
Visualization of the prediction of the current state of the model on custom-defined example images. (Maybe some obvious classes …
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* picasso version:0.2.0
* Python version:3.6.5
* Operating System:ubuntu16.04
AttributeError
AttributeError: module 'keras.applications.imagenet_utils' has no attribute 'CLASS_INDEX'
Traceback …
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Can you show me the code the visualize the result after training like the loss, val_loss or accuracy?
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Will this repo be the place where multiple reinforcement learning algorithms (q-learning, A3C, ...) be implemented for Keras?
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We need to convert keras.io examples to work with Keras 3.
This involves two stages:
## Stage 1: tf.keras backwards compatibility check
Keras 3 is intended as a drop-in replacement for tf.ker…