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Since the yolo v3, instead of softmax, it starts to use logistic regression, which can handle the case when one object belongs to multiple labels. I wonder when preparing the training dataset, e.g. ob…
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Hi TFLearn Team,
I am new to tensorflow and tflearn and implementing a classifier using LSTM.
In the meanwhileI, encountered the following warning:
/usr/local/lib/python2.7/dist-packages/tenso…
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Spark as far as I see has perceptron with only sigmoid activation functions….
From the source code:
*Each layer has sigmoid activation function, output layer has softmax.
* Number of inputs has to …
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https://github.com/neale/softmax
https://github.com/mazefeng/ml/blob/master/softmax.py
https://penolove.gitbooks.io/deep-learning-tutourial/content/Supervise%20learning/softmax%20regression.html
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Is there any plan to implement any of the latest yolo obb models in the near future?
Mainly Writing post-processing is not easy for everyone. So I can't move forward with that.
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It seems the output ground truth label size is different when using L2 loss (nn.MSECriterion),
and it seems inappropriate to use log softmax as the final output of the network.
Thus, I changed th…
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Hi. Handson-ml is a fantastic book and I'm enjoying it so far.
I was having a crack at Exercise 12 of Chapter 4 and implemented my own BGD for Softmax Regression with early stopping. I took it quit…
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Hello.
I've set up a sequence generator for all ascii characters:
`def create_model():
char_idx = {chr(i):i for i in range(256)}
g = tflearn.input_data([None, maxlen])
g = tflearn.layers.c…
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Hi, love this library, awesome work.
Here's a bug one I run this code:
```
config = tf.ConfigProto(log_device_placement=True, allow_soft_placement = True)
sess = tf.Session(config = config)
wit…
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`predict_particles` throws a `MethodError` when I try to use it in the multinomial logistic regression example.
The error is: `ERROR: MethodError: no method matching &(::Particles{Bool,1000}, ::Par…