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Hi Fabian, sorry this might not entirely constitute an "issue", but I was wondering if it is normal to have training times of 1-5 seconds per step? Meaning that 1000 steps of GD might take ~1 hour? Th…
djl11 updated
5 years ago
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i trained the movie review training set using this code. i got trained files in the path "runs/1458022294/summaries/train". how can i test the module is there any API in python to test it?
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Hi,
`tf.contrib.tensorrt` currently automatically segments a given graph into subgraphs which can be fused into TensorRT nodes. This approach works well with networks having linear topology, e.g., …
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Several convolution implementations (cuda-convnet, cudnn, ...) provide a way to implicitly pad the input with a border of zeros. This mechanism is then used to implement the various 'border modes' (i.…
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Currently it is very cumbersome to model a neural network as we have to initialized weight and bias manually. For the MNIST example we want to pass from that:
##### Old API
```Nim
# Config (API i…
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Hello,
Is there any example on how to implement a neural network using tensorflow plus a final 'layer' implementing a GP process. Something similar to the architecture presented in: "Adversarial Ex…
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I try the tutorial at [https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API](url) with OpenCV 3.4.2 using Python. I used `tf_text_graph_ssd.py` to get pbtxt for my own tf model but I …
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Inspired by the pyro tutorial on Bayesian regression: http://pyro.ai/examples/bayesian_regression.html
I wanted to try something on more complex data. I had this problem in mind
```
Input(X) will…
udion updated
6 years ago
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Hi, thanks for your valuable work! I have learned a lot from your codes.
I'm trying to implement the method described in "Visualizing and Understanding Convolutional Networks" by Matthew D. and they …