cycle gan notebook

Author: vpj

labml_nn/gan/cycle_gan.ipynb

@@ -296,7 +296,7 @@
               "<strong>Click on the experiment link to monitor the experiment and add it to your experiments list.</strong><span style=\"color: #C5C1B4\"></span>\n",
               "<span style=\"color: #C5C1B4\">--------------------------------------------------</span>\n",
               "<span style=\"color: #208FFB\">Monitor experiment at </span><a href='https://web.lab-ml.com/run?uuid=93b11a665d6811ebaac80242ac1c0002' target='blank'>https://web.lab-ml.com/run?uuid=93b11a665d6811ebaac80242ac1c0002</a>\n",
-              "<strong><span style=\"color: #DDB62B\">     544:  </span></strong>Train:<span style=\"color: #C5C1B4\">  44%</span><span style=\"color: #208FFB\">   884,119ms  </span> loss.generator: <strong> 5.98499</strong> loss.generator.cycle: <strong>0.309435</strong> loss.generator.gan: <strong>1.635118</strong> loss.generator.identity: <strong>0.251104</strong> loss.discriminator: <strong>1.242468</strong>  <span style=\"color: #208FFB\">884,119ms</span><span style=\"color: #D160C4\">  0:06m/ 49:00m  </span></pre>"
+              "<strong><span style=\"color: #DDB62B\">     646:  </span></strong>Train:<span style=\"color: #C5C1B4\">  52%</span><span style=\"color: #208FFB\">   884,952ms  </span> loss.generator: <strong> 7.01736</strong> loss.generator.cycle: <strong>0.455202</strong> loss.generator.gan: <strong>0.530470</strong> loss.generator.identity: <strong>0.386975</strong> loss.discriminator: <strong> 1.06013</strong>  <span style=\"color: #208FFB\">884,952ms</span><span style=\"color: #D160C4\">  0:07m/ 49:02m  </span></pre>"
             ],
             "text/plain": [
               "<IPython.core.display.HTML object>"