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The following code shows the introductory example with a simple modification. It uses an additional input tensor with (random) meta information, aka wide&deep model. Both input layers are named, so th…
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Hey! I love this repo, thanks for making it 💯
Everything works well except for one thing, after some digging around/experimenting, here's what I've found:
Below are some figures for the trainin…
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https://github.com/pannous/tensorflow-ocr
[Developing a Standard OCR Pipeline The utilization of Pc Imaginative and prescient and Deep Discovering out](http://a1a.in/developing-a-standard-ocr-pipel…
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Hi @AlexKuhnle,
I have some trouble training a _ppo agent_. Basically, I'm able to train it for only **very few episodes** (e.g. 4, 8). If I increase the number of episodes, my laptop will crash or …
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Training time error occurs seems DLC runs out of memory. I tried to get it to work on 3 different computers (that all previously ran DLC without problem) including a machine with a Titan XP (12GB) of …
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Please make sure that the boxes below are checked before you submit your issue. Thank you!
- [x] Check that you are up-to-date with the master branch of Keras. You can update with:
pip install git+g…
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I'm studying your tool now, and I want to import my own network for verification, but I do not know how to get .mat file. Your example shows that exported from tensorflow, but how? And my own network …
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System:
- ubuntu 18.04 on EC2
- 8 x nvidia K80
- python 3.6
- tensorflow-gpu 1.5 (tested 1.5, 1.6, 1.7)
- CUDA 9
- cdDNN 7
I want to reproduce balloon example. I run:
```
python train.py …
Adblu updated
4 years ago
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After training I want to extract the hidden layer representation of the given data instead of the final probabilities. How can I do it with Keras?
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Hi all,
Foremost, my theano and keras are up-to-date.
I am trying to adapt the keras VAE template `variational_autoencoder_deconv.py` for a non-MNIST unlabeled dataset. I am using 38,585 256x256…