Commit graph

51 commits

Author SHA1 Message Date
c5fbe764a6 Limited ErrorPlotter buffer size 2015-11-16 17:27:42 +01:00
0f7c617f9c Back to learning all samples 2015-11-15 16:09:25 +01:00
5e32724b1a Layers average their output sums 2015-11-15 16:08:49 +01:00
44760d0402 Debugging-setup with a single training sample to check the lack of learning progress 2015-11-01 15:01:43 +01:00
1d343a079a Moved MNIST sample to QImage conversion to MNIST loader 2015-11-01 15:00:32 +01:00
eecd7a0fe6 Querying of a single MNIST sample 2015-11-01 14:49:02 +01:00
ab9dcfbd35 Clean learner-thread termination on program exit 2015-11-01 12:36:23 +01:00
mandlm
1a0d2b9ea7 Merge pull request #1 from mandlm/digits
Digits
2015-10-31 15:08:01 +01:00
8d01edb7a1 Removed naked double * calls 2015-10-31 14:59:10 +01:00
cd1101dfe2 Learning from and displaying of digit samples 2015-10-31 14:58:49 +01:00
d98ec63fbd Completed loading of MNIST Databases 2015-10-31 12:28:35 +01:00
87e267d65f Implemented parsing of MNIST files 2015-10-29 16:00:58 +01:00
83b4562a29 Removed useless training images, added MNIST database instead
See http://yann.lecun.com/exdb/mnist/
2015-10-29 13:06:30 +01:00
5778afa121 Display training digits in UI while training 2015-10-27 18:20:50 +01:00
f9be5ca717 Load and train handwritten digits 2015-10-27 15:33:54 +01:00
650b4be9fc Added forward-feeding of double-ptrs 2015-10-27 15:33:10 +01:00
ec654c0e5f Improved icon visibility 2015-10-27 15:32:46 +01:00
81d1f54c98 Started loader-class for 8x8 pixel digit training data 2015-10-26 22:05:50 +01:00
80da55a2b8 Added handwritten digits as training data
Source: http://www.cs.nyu.edu/~roweis/data.html
2015-10-26 21:34:13 +01:00
aa61792911 Fixed a performance problem with a QListWidget while inserting and scrolling 2015-10-26 20:51:36 +01:00
37b5153d6a Cleaned up code to work with MinGW/GCC Kit 2015-10-26 20:34:26 +01:00
1e716979a9 Reduced the progress update messages to take load from the UI,
implemented load-or-create in test funtion
2015-10-26 19:50:01 +01:00
9bb927d2d2 Fixed a problem with multiple connects 2015-10-26 17:54:06 +01:00
22dba2cb27 Added time measurement 2015-10-26 09:19:48 +01:00
24b6969ab7 Added a error-plotter widget to NeuroUI 2015-10-26 08:41:59 +01:00
b899c6f55e Replaced a few int with size_t to fix 64 bit warnings. 2015-10-26 07:33:45 +01:00
99ef63e019 Added simple (de-)serialization of (trained) nets 2015-10-25 17:40:22 +01:00
mandlm
249bd22b67 Update README.md 2015-10-25 11:49:45 +01:00
91427954c7 Added an icon to NeuroUI 2015-10-25 10:00:48 +01:00
2b84b8a054 Added a progress bar to NeuroUI 2015-10-25 09:51:09 +01:00
6943fc0116 Threaded learning and signaling in the Qt UI 2015-10-24 18:03:07 +02:00
c9fb9b9fa8 Qt GUI initial import 2015-10-24 14:44:33 +02:00
4eb232b1e9 Working net, calculates the mean value of two inputs 2015-10-23 22:16:12 +02:00
6ed30e56c4 Finished the max-value net (2/3/1 neurons) with 10k learning iterations. No good. 2015-10-22 22:09:35 +02:00
d4a22ecae7 Simple max(a, b) test-net without iterations 2015-10-22 16:03:10 +02:00
f22e4221a1 Fixed feed-forward algo 2015-10-22 16:02:27 +02:00
3d30346f2d Implemented dynamic learning 2015-10-18 22:05:18 +02:00
6ef1f9657c Backprop seems to be working, yay 2015-10-18 21:20:37 +02:00
a79abb5db1 First implementation of weight updates. Very slow rate of change in the output value. 2015-10-17 22:05:27 +02:00
de06daaad3 Fixed gradient computation 2015-10-17 21:02:10 +02:00
26a51ce476 Hidden neuron gradients complete 2015-10-16 23:23:27 +02:00
370451c2e6 Calculation of hidden neuron gradients (partial) 2015-10-16 22:59:04 +02:00
ea454b58c6 Added 64-bit configuration and support 2015-10-15 22:37:13 +02:00
953db0a17e Added README to vcxproj 2015-10-15 22:30:53 +02:00
mandlm
a7c0fb8b33 Create README.md 2015-10-15 22:19:48 +02:00
ce88f690cf More back-propagation code, calculation of output-neuron gradients 2015-10-15 22:16:34 +02:00
7ba16e9e9d Renamed a few things, started working on back-propagation 2015-10-15 19:18:26 +02:00
2f556d1b92 Added a (hacky) bias neuron 2015-03-24 13:45:38 +01:00
e3a804242c Split up to different source files, entry-point for back propagation 2015-03-23 21:58:30 +01:00
c8e08193f1 Initial forward-feeding net 2015-03-23 19:28:29 +01:00