Adding an autoencoder tensorflow example #119
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ghost
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Jul 10, 2019
| @@ -61,11 +61,17 @@ This is Tensorflow implementation of Neural Turing Machine. This implementation | |||
| Example of a deep convolutional generative adversarial network. A network able to reproduce detailed images. | |||
| Train data can be supplied in a folder with name input or passed as arg with --input_dir, Tweak the values if necessary. Or it will use MNIST dataset as default. | |||
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| 8. **yolo-tensorflow** | |||
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| YOLO (You Only Look Once) is a state-of-the-are, real-time object detection system. This example trained a yolo model with pascal-voc 2007 data. | |||
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I made a pull request of 312 lines where ONE of these 312 is clearly a typographical error and, since I didn't disable "Allow edits from maintainers.", is easily fixed by anyone who reviews this pull request. If your only objective here is making a joke, I should say you are at the wrong place.
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This pull request adds an autoencoder example, using tensorflow.
Using by default MNIST, it encodes the images into a compressed layer, that then can be decoded into the original image.
Here are some example images (the images on the left are the originals, and the one on the right after being encoded and decoded):
Thanks!