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Hi @AlexeyAB,
I'd like to assess my model via visualization of the model. An example of visualization in image classification via Keras is shown in the link:
https://github.com/raghakot/keras-vis
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### Describe the bug
Some Network architectures have multiple input layers of various shapes. Keras supports this, but the WandbCallback function throws a ValueError whenever data for such a networ…
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As title, anyway to import tensorflow.keras pretrained model file ? can it run to show visualization ?
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# Transfer Learning with EfficientNet for Image Regression in Keras - Using Custom Data in Keras - Python Tutorials for Machine Learning, Deep Learning and Data Visualization
This tutorial teaches yo…
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Create keras callbacks to generate visualizations while training in keras. It would be pretty neat to have:
* Tensorboard callback to push visualization images of choice every_x epochs of training.…
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```
from keras.applications import VGG16
from vis.utils import utils
from keras import activations
from vis.visualization import visualize_activation
# from vis.backend import sel
mo…
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Would be very cool to add graph visualization to understand the estimated structure
could use the graphviz library (which Keras uses to viz models)
http://graphviz.readthedocs.io/en/latest/examples.h…
dswah updated
7 years ago
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Implement and test a neural network model for classifying the CIFAR-10 dataset.
CIFAR-10 is a popular dataset containing 60,000 color images of 32x32 pixels, divided into 10 classes. Each class repre…
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Something like https://keras.io/visualization/ or https://greta-dev.github.io/greta/get_started.html#plotting
Saves manual draw.io work in papers and presentations.
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`model.summary` in keras gives a very fine visualization of your model and it's very convenient when it comes to debugging the network. Can we try to implement something like it in PyTorch?
cc @ezyan…