Neural Evolution

Neural Evolution Results.txt

[Command: python -u 'C:\Users\Roman\Documents\Software Development\archive\(deprecated) Neural Evolution Algorithm\neural_genetics.py']
Using TensorFlow backend.
WARNING:tensorflow:From C:\Users\Roman\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
Generation:  1
2019-07-10 18:00:54.582107: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Max Fitness:  0.620019436345967
[array([[-0.55393076,  0.6676968 , -0.447821  ,  0.2897933 ],
       [-0.760463  ,  0.49176246,  0.48069805,  0.42872745],
       [ 0.16919738,  0.64366084, -0.05399323,  0.12991482],
       [-0.8602911 , -0.16528922,  0.0686745 ,  0.01045084]],
      dtype=float32), array([[ 0.05967665, -0.49281073],
       [-0.35776782,  0.5076699 ],
       [-0.98628664,  0.6460922 ],
       [ 0.8733828 ,  0.96569633]], dtype=float32), array([[ 0.3561648],
       [-0.2851591]], dtype=float32)]
Generation:  2
Max Fitness:  0.750242954324587
[array([[-0.55393076,  0.69002813, -0.11598879,  0.2897933 ],
       [-0.760463  , -0.03817648,  0.43631917,  0.42872745],
       [ 0.16919738, -0.5491735 ,  0.47267312,  0.12991482],
       [-0.8602911 , -0.3470947 ,  0.7437044 ,  0.01045084]],
      dtype=float32), array([[ 0.5318582 , -0.49281073],
       [-0.92745876,  0.5076699 ],
       [ 0.2851665 ,  0.6460922 ],
       [ 0.52530384,  0.96569633]], dtype=float32), array([[ 0.3561648],
       [-0.2851591]], dtype=float32)]
Generation:  3
Generation:  4
Generation:  5
Max Fitness:  0.7551020408163265
[array([[-0.55393076,  0.69002813,  0.82523733,  0.2897933 ],
       [-0.760463  , -0.03817648, -0.5118083 ,  0.42872745],
       [ 0.16919738, -0.5491735 ,  0.16900462,  0.12991482],
       [-0.8602911 , -0.3470947 ,  0.49054784,  0.01045084]],
      dtype=float32), array([[ 0.5318582 , -0.49281073],
       [-0.92745876,  0.5076699 ],
       [ 0.2851665 ,  0.6460922 ],
       [ 0.52530384,  0.96569633]], dtype=float32), array([[ 1.4246593],
       [-1.1406364]], dtype=float32)]
Generation:  6
Generation:  7
Max Fitness:  0.8299319727891157
[array([[-0.55393076,  0.6676968 , -0.29898834,  0.2897933 ],
       [-0.760463  ,  0.49176246, -0.80330896,  0.42872745],
       [ 0.16919738,  0.64366084,  0.44395167,  0.12991482],
       [-0.8602911 , -0.16528922,  0.44352704,  0.01045084]],
      dtype=float32), array([[ 2.659291 , -2.4640536],
       [-4.637294 ,  2.5383496],
       [ 1.4258325,  3.230461 ],
       [ 2.6265192,  4.8284817]], dtype=float32), array([[ 1.4246593],
       [-1.1406364]], dtype=float32)]
Generation:  8
Max Fitness:  0.9203109815354713
[array([[-0.55393076,  0.6676968 , -1.343463  ,  0.2897933 ],
       [-0.760463  ,  0.49176246,  1.4420941 ,  0.42872745],
       [ 0.16919738,  0.64366084, -0.16197968,  0.12991482],
       [-0.8602911 , -0.16528922,  0.20602351,  0.01045084]],
      dtype=float32), array([[ 2.659291 , -2.4640536],
       [-4.637294 ,  2.5383496],
       [ 1.4258325,  3.230461 ],
       [ 2.6265192,  4.8284817]], dtype=float32), array([[ 1.4246593],
       [-1.1406364]], dtype=float32)]
WARNING:tensorflow:From C:\Users\Roman\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\ops\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Epoch 1/10
  32/1029 [..............................] - ETA: 11s - loss: 0.4412 - acc: 0.9688
1029/1029 [==============================] - 0s 370us/step - loss: 0.4755 - acc: 0.9359
Epoch 2/10
  32/1029 [..............................] - ETA: 0s - loss: 0.4601 - acc: 0.9688
1029/1029 [==============================] - 0s 17us/step - loss: 0.4565 - acc: 0.9427
Epoch 3/10
  32/1029 [..............................] - ETA: 0s - loss: 0.4468 - acc: 0.9688
1029/1029 [==============================] - 0s 17us/step - loss: 0.4421 - acc: 0.9485
Epoch 4/10
  32/1029 [..............................] - ETA: 0s - loss: 0.4734 - acc: 0.9375
1029/1029 [==============================] - 0s 17us/step - loss: 0.4299 - acc: 0.9456
Epoch 5/10
  32/1029 [..............................] - ETA: 0s - loss: 0.3927 - acc: 1.0000
1029/1029 [==============================] - 0s 17us/step - loss: 0.4196 - acc: 0.9485
Epoch 6/10
  32/1029 [..............................] - ETA: 0s - loss: 0.3922 - acc: 0.9688
1029/1029 [==============================] - 0s 18us/step - loss: 0.4099 - acc: 0.9495
Epoch 7/10
  32/1029 [..............................] - ETA: 0s - loss: 0.4224 - acc: 0.9688
1029/1029 [==============================] - 0s 18us/step - loss: 0.4006 - acc: 0.9534
Epoch 8/10
  32/1029 [..............................] - ETA: 0s - loss: 0.3859 - acc: 0.9375
1029/1029 [==============================] - 0s 17us/step - loss: 0.3919 - acc: 0.9553
Epoch 9/10
  32/1029 [..............................] - ETA: 0s - loss: 0.3634 - acc: 0.9688
1029/1029 [==============================] - 0s 17us/step - loss: 0.3833 - acc: 0.9572
Epoch 10/10
  32/1029 [..............................] - ETA: 0s - loss: 0.3892 - acc: 0.9375
1029/1029 [==============================] - 0s 17us/step - loss: 0.3749 - acc: 0.9572
Test Accuracy: 0.95