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| author | schneefux <schneefux+commit@schneefux.xyz> | 2016-02-13 16:51:39 +0100 |
|---|---|---|
| committer | schneefux <schneefux+commit@schneefux.xyz> | 2016-02-13 16:51:39 +0100 |
| commit | f51da96a378f3f8b35d149b6e9687886921ce93d (patch) | |
| tree | 9160d0948c5f8465752b57574f349660640932ed | |
| parent | 3e88bd5ce68140bc12c366b58c0340e7a361b421 (diff) | |
| download | boston-neuralnet-f51da96a378f3f8b35d149b6e9687886921ce93d.tar.gz boston-neuralnet-f51da96a378f3f8b35d149b6e9687886921ce93d.zip | |
indent
| -rw-r--r-- | boston.py | 42 |
1 files changed, 21 insertions, 21 deletions
@@ -54,29 +54,29 @@ with tf.device('/cpu:0'): # all variables have to be specified here sess.run(tf.initialize_all_variables()) + for count in range(0, len(x_train)): + trainsteps = 100 + print("count " + str(count)) + for i in range(0, trainsteps): # 100 epochs + if False: # if i % 10 == 9: + # TODO mean over test data + feed = { + vecInput: x_test[0], + numTarget: [y_test[0]] + } + result = sess.run([summaries, numMSE], feed_dict=feed) + writer.add_summary(result[0], count * trainsteps + i) -for count in range(0, len(x_train)): - trainsteps = 100 - print("count " + str(count)) - for i in range(0, trainsteps): # 100 epochs - if False: # if i % 10 == 9: - # TODO mean over test data - feed = { - vecInput: x_test[0], - numTarget: [y_test[0]] - } - result = sess.run([summaries, numMSE], feed_dict=feed) - writer.add_summary(result[0], count * trainsteps + i) + # TODO run a complete set + result = sess.run([summaries, train_step], + feed_dict={ + vecInput: x_train[count], + numTarget: [y_train[count]] + }) + if i % 10 == 9: + writer.add_summary(result[0], int(count * trainsteps + (i - 9) / 10)) # TODO this slows down - # TODO run a complete set - result = sess.run([summaries, train_step], - feed_dict={ - vecInput: x_train[count], - numTarget: [y_train[count]] - }) - writer.add_summary(result[0], count * trainsteps + i) # TODO this slows down - -print("finished training") + print("finished training") # yt = [y_test] # # debug |
