chasingbob / squeezenet-keras Goto Github PK
View Code? Open in Web Editor NEWSqueezeNet Keras demo
License: MIT License
SqueezeNet Keras demo
License: MIT License
If you are facing this error.
Try to use this solution
tf.keras.layers.Concatenate(axis=-1, **kwargs)
The loss during training is not reducing. loss is constant at around 0.69 and and accuracy at around 0.5
Hello,
Thank you for sharing your code on Github.
It would be of great help to me if I could get access to weights.h5 file generated after training.
It would save my much more of time.
Thank you.
due to stackoverflow Keras 1.2 doesn't support separate kernel/bias initializers, layers only take a single init parameter,
https://stackoverflow.com/questions/59092788/typeerror-keyword-argument-not-understood-init-in-classifier-add
I think we need to adapt the code for new keras version.
How can I preprocess data to use your code??
Just by downloading 'Cats&Dog' and run your code occur error.
Thanks.
Running on Keras 1.0 docker (gw000/keras:1.2.2) running Tensorflow 1.0. I'm getting:
ValueError: Negative dimension size caused by subtracting 3 from 2 for 'MaxPool' (op: 'MaxPool') with input shapes: [?,2,112,96].
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