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Hello
Is there a way to pass a tensor in a form that is usable by cirq when it is passed from an upstream layer during training?
I have a tensor from a Dense layer. I want to run it through a cu…
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I use the default init function "uniform" to init weights, but each time I get different result with the same code and data. I can't reproduce the result. I wonder is there any way to note down or con…
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Hey there,
first of all, I am not sure if it is okay, that I post my problem here, but I am new to Neural Networks and I am really running out of ideas... Hope that someone can help me.
I am faci…
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Hi,
In `Pre-training VL-BERT` section, you've highlighed some tasks on which model was trained.
1. Pretraining on Conceptual Conceptions
2. Masked Language Modeling with Visual Clues
3. Mask…
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##### System information (version)
- OpenCV => 4.1
- Operating System / Platform => ubuntu 18.04 64 Bit
- GPU : Nvidia getfore 1080 ti
##### Detailed description
[ 80%] Built target ope…
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Thread created during Google Code-In.
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**Question**
Suppose I have three tasks A,B,C each with a corresponding head and loss. What multi-task training strategies are implemented?
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I would like to stack 2D convolutions and LSTM layers, exactly the same problem as in [#129](https://github.com/fchollet/keras/issues/129)
The proposed solution in #129 is a [custom reshape layer](ht…
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I have been playing with the CNN network trying to get any results but continue to hit roadblocks and I'm hoping to get some help.
I first converted the images to 48x48x1 greyscale to try and keep …
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When `model.fit_generator` is used with `workers=0` and subclasses of [`keras.utils.data_utils.Sequence`](https://keras.io/utils/#sequence) for both training and validation data, API of `Sequence` is …