A toy application that learns a mapping from (x, y) coordinates to color.
python train.py -i keyboard.png --num-epochs 1000
python train.py -i landscape.png --num-epochs 1000
python train_many.py -i boxy_stripes2.png boxy_stripes2_30.png boxy_stripes2_60.png boxy_stripes2_90.png
Then interpolate between the images:
python interpolate_between_many.py --num-images 4 --model output/that_model_filename.h5
| Name | Original | Learned image |
|---|---|---|
| Keyboard |  |
 |
| 8x8 Checkerboard |  |
 |
The following animation visualizes the output of a neural network that was trained on 12 different images (different rotations of boxy stripes). The input vectors are constructed to interpolate between the 12 images, so we get a kind of morphing effect.
