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**Describe the bug**
When quantizing the keras model after pruning, an error is reported as follows.
RuntimeError: Layer conv1d: is not supported. You can quantize this layer by passing a `tfmot.q…
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运行这个文件，会报错'NoneType' object has no attribute '_inbound_nodes'。
Traceback (most recent call last):
File "/home/xuwei/Downloads/pycharm-professional-2021.3.3/pycharm-2021.3.3/plugins/python/helpers/…
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Please go to TF Forum for help and support:
https://discuss.tensorflow.org/tag/keras
If you open a GitHub issue, here is our policy:
It must be a bug, a feature request, or a significant prob…
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Hi,
I've read your paper and found it very interesting and I'm very curious and eager to experiment with your layer in Keras/ Tensorflow. Do you have by any chance a Keras implementation of your cod…
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The original PyTorch model has no bias (only weights) in certain Convo layers but the converted Keras model does have bias respectively. And the Keras model shows no BatchNorm2D layers compared to the…
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I am getting this error when I added custom loss
input shape(512,512,3)
model=models.unet_2d(input_size, filter_num, n_labels=1, stack_num_down=2, stack_num_up=2,
activation='ReLU', …
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For Tensorflow, the import feature currently only supports a few layers (~10), we want to extend this to support as many layers as are available in our Keras backend (~60). Also, the current export fo…
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Let's say in the movielens dataset I have another column where each row is the list of the last 100 movies clicked by that user.
user_id
movie_watched_id
last_100_movies_clicked_ids
'…
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consider this:
```
set.seed(123)
library(keras)
load_all()
env = mountainCar()
preprocessState = function(state) {
state[1, , drop = FALSE]
}
m = keras_model_sequential()
m %>% layer_d…
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> Traceback (most recent call last):
> File "clock_gated_rnn.py", line 63, in
> model.compile(loss='binary_crossentropy', optimizer='adam', class_mode="binary")
> File "/usr/local/lib/python2…