(art-demo) erick@OptiPlex-790 ~/ml/How-to-Generate-Art-Demo $ python demo-512-50-iter.py Using TensorFlow backend. (1, 512, 512, 3) (1, 512, 512, 3) W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. Start of iteration 0 Current loss value: 1.68853e+11 Iteration 0 completed in 672s Start of iteration 1 Current loss value: 1.06826e+11 Iteration 1 completed in 616s Start of iteration 2 Current loss value: 7.61243e+10 Iteration 2 completed in 594s Start of iteration 3 Current loss value: 5.69757e+10 Iteration 3 completed in 501s Start of iteration 4 Current loss value: 4.73256e+10 Iteration 4 completed in 496s Start of iteration 5 Current loss value: 4.18902e+10 Iteration 5 completed in 494s Start of iteration 6 Current loss value: 3.81971e+10 Iteration 6 completed in 495s Start of iteration 7 Current loss value: 3.56187e+10 Iteration 7 completed in 493s Start of iteration 8 Current loss value: 3.36992e+10 Iteration 8 completed in 493s Start of iteration 9 Current loss value: 3.22461e+10 Iteration 9 completed in 498s Start of iteration 10 Current loss value: 3.1111e+10 Iteration 10 completed in 493s Start of iteration 11 Current loss value: 3.02125e+10 Iteration 11 completed in 680s Start of iteration 12 Current loss value: 2.94642e+10 Iteration 12 completed in 711s Start of iteration 13 Current loss value: 2.88343e+10 Iteration 13 completed in 643s Start of iteration 14 Current loss value: 2.82968e+10 Iteration 14 completed in 620s Start of iteration 15 Current loss value: 2.78089e+10 Iteration 15 completed in 169642s Start of iteration 16 Current loss value: 2.73651e+10 Iteration 16 completed in 539s Start of iteration 17 Current loss value: 2.69777e+10 Iteration 17 completed in 604s Start of iteration 18 Current loss value: 2.66293e+10 Iteration 18 completed in 445s Start of iteration 19 Current loss value: 2.63259e+10 Iteration 19 completed in 471s Start of iteration 20 Current loss value: 2.60565e+10 Iteration 20 completed in 485s Start of iteration 21 Current loss value: 2.58173e+10 Iteration 21 completed in 393s Start of iteration 22 Current loss value: 2.55949e+10 Iteration 22 completed in 555s Start of iteration 23 Current loss value: 2.53916e+10 Iteration 23 completed in 683s Start of iteration 24 Current loss value: 2.52063e+10 Iteration 24 completed in 70174s Start of iteration 25 Current loss value: 2.50315e+10 Iteration 25 completed in 594s Start of iteration 26 Current loss value: 2.48684e+10 Iteration 26 completed in 91258s Start of iteration 27 Current loss value: 2.47157e+10 Iteration 27 completed in 572s Start of iteration 28 Current loss value: 2.45696e+10 Iteration 28 completed in 543s Start of iteration 29 Current loss value: 2.44296e+10 Iteration 29 completed in 758s Start of iteration 30 Current loss value: 2.42953e+10 Iteration 30 completed in 677s Start of iteration 31 Current loss value: 2.41672e+10 Iteration 31 completed in 584s Start of iteration 32 Current loss value: 2.40485e+10 Iteration 32 completed in 575s Start of iteration 33 Current loss value: 2.39362e+10 Iteration 33 completed in 646s Start of iteration 34 Current loss value: 2.38318e+10 Iteration 34 completed in 551s Start of iteration 35 Current loss value: 2.37317e+10 Iteration 35 completed in 673s Start of iteration 36 Current loss value: 2.36367e+10 Iteration 36 completed in 668s Start of iteration 37 Current loss value: 2.35457e+10 Iteration 37 completed in 531s Start of iteration 38 Current loss value: 2.34602e+10 Iteration 38 completed in 796s Start of iteration 39 Current loss value: 2.33766e+10 Iteration 39 completed in 571s Start of iteration 40 Current loss value: 2.32964e+10 Iteration 40 completed in 448s Start of iteration 41 Current loss value: 2.32184e+10 Iteration 41 completed in 472s Start of iteration 42 Current loss value: 2.31427e+10 Iteration 42 completed in 484s Start of iteration 43 Current loss value: 2.30673e+10 Iteration 43 completed in 529s Start of iteration 44 Current loss value: 2.29932e+10 Iteration 44 completed in 571s Start of iteration 45 Current loss value: 2.29195e+10 Iteration 45 completed in 592s Start of iteration 46 Current loss value: 2.28489e+10 Iteration 46 completed in 592s Start of iteration 47 Current loss value: 2.27815e+10 Iteration 47 completed in 606s Start of iteration 48 Current loss value: 2.27155e+10 Iteration 48 completed in 594s Start of iteration 49 Current loss value: 2.26513e+10 Iteration 49 completed in 592s