Recycling network - compression picture

The dependence of the number of iterations of the compression ratio

The following input parameters were set to determine this relationship:

• 256x256 size image;
• Squares of the same image size 4x4;
• The maximum permissible errors - in 1000.

Changing the compression ratio is achieved by varying the number of hidden layer neurons.

Compression coefficient	Number of iteration
4,20089	40
3,15069	17
2,52056	8
2,10047	6
1,80041	5

The dependence of the number of training iterations, for a different size image

The following input parameters were set to determine this relationship:

• 256x256 sized image;
• squares of the same image size 4x4;
• The number of neurons in the hidden layer - 28
• maximum permissible errors - 500.

Use a single image in different sizes.

Image Size	Number of iterations
32 x 32	3
64 x 64	10
128 x 128	15
256 x 256	17

The dependence of the number of iterations of the error

The following input parameters were set to determine this relationship:

• 256x256 sized image;
• squares of the same image size 4x4;
• The number of neurons in the hidden layer - 20;

Error	Number of iterations
2086,42	1
1739,09	2
1285,45	4
1021,98	6
857,13	8
733,34	10
634,46	12
556,18	14
495,15	16

The dependence of the number of iterations of step

The following input parameters were set to determine this relationship:

• 256x256 sized image;
• squares of the same image size 4x4;
• The number of neurons in the hidden layer - 32;
• maximum permissible errors - 500.

Step training	Number of iterations
0.0001	53
0.001	8
0.003	3
0.005	2
0.01	2

Example