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jdwittenauerjdwittenauer
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Re-ran labs 2 and 3 with some corrections
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‎Tensorflow-2-FullyConnected.ipynb

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@@ -334,34 +334,34 @@
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"output_type": "stream",
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"text": [
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"Initialized\n",
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"Loss at step 0: 15.345044\n",
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"Training accuracy: 15.3%\n",
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"Validation accuracy: 18.1%\n",
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"Loss at step 100: 2.287003\n",
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"Loss at step 0: 17.643072\n",
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"Training accuracy: 8.1%\n",
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"Validation accuracy: 9.6%\n",
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"Loss at step 100: 2.280050\n",
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"Training accuracy: 71.9%\n",
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"Validation accuracy: 70.5%\n",
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"Loss at step 200: 1.845399\n",
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"Training accuracy: 74.7%\n",
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"Validation accuracy: 73.2%\n",
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"Loss at step 300: 1.602941\n",
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"Training accuracy: 75.7%\n",
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"Validation accuracy: 74.1%\n",
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"Loss at step 400: 1.440325\n",
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"Training accuracy: 76.6%\n",
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"Validation accuracy: 74.7%\n",
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"Loss at step 500: 1.320234\n",
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"Training accuracy: 77.2%\n",
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"Validation accuracy: 71.1%\n",
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"Loss at step 200: 1.824829\n",
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"Training accuracy: 74.9%\n",
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"Validation accuracy: 73.6%\n",
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"Loss at step 300: 1.588680\n",
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"Training accuracy: 76.2%\n",
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"Validation accuracy: 74.5%\n",
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"Loss at step 400: 1.431254\n",
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"Training accuracy: 77.1%\n",
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"Validation accuracy: 74.9%\n",
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"Loss at step 600: 1.225945\n",
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"Training accuracy: 77.8%\n",
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"Loss at step 500: 1.314126\n",
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"Training accuracy: 77.9%\n",
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"Validation accuracy: 75.1%\n",
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"Loss at step 700: 1.149051\n",
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"Loss at step 600: 1.221493\n",
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"Training accuracy: 78.3%\n",
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"Validation accuracy: 75.2%\n",
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"Loss at step 800: 1.084832\n",
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"Validation accuracy: 75.3%\n",
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"Loss at step 700: 1.145665\n",
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"Training accuracy: 78.9%\n",
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"Validation accuracy: 75.2%\n",
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"Test accuracy: 81.6%\n"
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"Validation accuracy: 75.6%\n",
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"Loss at step 800: 1.082164\n",
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"Training accuracy: 79.3%\n",
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"Validation accuracy: 75.7%\n",
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"Test accuracy: 82.1%\n"
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]
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}
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],
@@ -510,28 +510,28 @@
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"output_type": "stream",
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"text": [
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"Initialized\n",
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"Minibatch loss at step 0: 18.580248\n",
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"Minibatch accuracy: 5.5%\n",
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"Validation accuracy: 9.9%\n",
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"Minibatch loss at step 500: 1.650409\n",
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"Minibatch accuracy: 74.2%\n",
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"Validation accuracy: 75.9%\n",
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"Minibatch loss at step 1000: 1.111508\n",
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"Minibatch accuracy: 84.4%\n",
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"Validation accuracy: 77.2%\n",
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"Minibatch loss at step 1500: 0.873382\n",
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"Minibatch accuracy: 82.0%\n",
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"Validation accuracy: 78.0%\n",
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"Minibatch loss at step 2000: 0.989458\n",
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"Minibatch accuracy: 80.5%\n",
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"Validation accuracy: 78.7%\n",
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"Minibatch loss at step 2500: 0.830922\n",
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"Minibatch loss at step 0: 19.032427\n",
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"Minibatch accuracy: 8.6%\n",
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"Validation accuracy: 9.5%\n",
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"Minibatch loss at step 500: 1.287354\n",
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"Minibatch accuracy: 77.3%\n",
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"Validation accuracy: 75.8%\n",
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"Minibatch loss at step 1000: 1.040482\n",
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"Minibatch accuracy: 83.6%\n",
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"Validation accuracy: 76.4%\n",
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"Minibatch loss at step 1500: 1.008734\n",
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"Minibatch accuracy: 82.8%\n",
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"Validation accuracy: 79.1%\n",
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"Minibatch loss at step 3000: 0.976962\n",
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"Minibatch accuracy: 76.6%\n",
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"Validation accuracy: 79.2%\n",
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"Test accuracy: 85.6%\n"
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"Validation accuracy: 78.2%\n",
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"Minibatch loss at step 2000: 0.933759\n",
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"Minibatch accuracy: 79.7%\n",
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"Validation accuracy: 78.5%\n",
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"Minibatch loss at step 2500: 0.854228\n",
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"Minibatch accuracy: 78.9%\n",
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"Validation accuracy: 78.6%\n",
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"Minibatch loss at step 3000: 1.088064\n",
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"Minibatch accuracy: 71.1%\n",
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"Validation accuracy: 79.0%\n",
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"Test accuracy: 85.7%\n"
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]
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}
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],
@@ -636,75 +636,33 @@
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"output_type": "stream",
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"text": [
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"Initialized\n",
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"Minibatch loss at step 0: 312.289673\n",
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"Minibatch accuracy: 4.7%\n",
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"Validation accuracy: 35.5%\n",
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"Minibatch loss at step 500: 11.646418\n",
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"Minibatch accuracy: 82.0%\n",
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"Validation accuracy: 81.3%\n",
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"Minibatch loss at step 1000: 8.311933\n",
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"Minibatch accuracy: 80.5%\n",
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"Validation accuracy: 79.4%\n",
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"Minibatch loss at step 1500: 13.553321\n",
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"Minibatch accuracy: 82.8%\n",
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"Validation accuracy: 82.0%\n",
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"Minibatch loss at step 2000: 3.074602\n",
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"Minibatch accuracy: 81.2%\n",
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"Validation accuracy: 82.4%\n",
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"Minibatch loss at step 2500: 6.484561\n",
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"Minibatch loss at step 0: 364.405762\n",
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"Minibatch accuracy: 13.3%\n",
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"Validation accuracy: 32.3%\n",
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"Minibatch loss at step 500: 12.502020\n",
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"Minibatch accuracy: 78.1%\n",
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"Validation accuracy: 80.9%\n",
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"Minibatch loss at step 1000: 3.743875\n",
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"Minibatch accuracy: 83.6%\n",
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"Validation accuracy: 81.2%\n",
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"Minibatch loss at step 1500: 5.572070\n",
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"Minibatch accuracy: 79.7%\n",
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"Validation accuracy: 82.6%\n",
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"Minibatch loss at step 3000: 3.632223\n",
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"Minibatch accuracy: 76.6%\n",
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"Validation accuracy: 81.5%\n",
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"Minibatch loss at step 2000: 3.639989\n",
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"Minibatch accuracy: 82.8%\n",
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"Validation accuracy: 82.7%\n",
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"Minibatch loss at step 3500: 2.888184\n",
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"Minibatch accuracy: 88.3%\n",
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"Validation accuracy: 82.8%\n",
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"Minibatch loss at step 4000: 2.871595\n",
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"Minibatch accuracy: 87.5%\n",
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"Validation accuracy: 80.8%\n",
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"Minibatch loss at step 4500: 1.498701\n",
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"Minibatch loss at step 2500: 6.019464\n",
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"Minibatch accuracy: 82.8%\n",
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"Validation accuracy: 82.8%\n",
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"Minibatch loss at step 3000: 2.160873\n",
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"Minibatch accuracy: 81.2%\n",
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"Validation accuracy: 82.9%\n",
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"Minibatch loss at step 5000: 2.723109\n",
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"Minibatch accuracy: 85.2%\n",
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"Validation accuracy: 83.1%\n",
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"Minibatch loss at step 5500: 3.913610\n",
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"Minibatch accuracy: 86.7%\n",
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"Validation accuracy: 83.5%\n",
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"Minibatch loss at step 6000: 1.389583\n",
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"Minibatch accuracy: 83.6%\n",
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"Validation accuracy: 83.5%\n",
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"Minibatch loss at step 6500: 0.699002\n",
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"Minibatch accuracy: 86.7%\n",
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"Validation accuracy: 84.2%\n",
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"Minibatch loss at step 7000: 4.137165\n",
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"Minibatch accuracy: 80.5%\n",
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"Validation accuracy: 82.9%\n",
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"Minibatch loss at step 7500: 0.906746\n",
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"Minibatch accuracy: 86.7%\n",
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"Validation accuracy: 83.9%\n",
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"Minibatch loss at step 8000: 0.594958\n",
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"Minibatch accuracy: 91.4%\n",
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"Validation accuracy: 83.8%\n",
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"Minibatch loss at step 8500: 1.163589\n",
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"Minibatch accuracy: 86.7%\n",
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"Validation accuracy: 83.5%\n",
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"Minibatch loss at step 9000: 5.229379\n",
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"Minibatch accuracy: 83.6%\n",
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"Validation accuracy: 83.9%\n",
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"Minibatch loss at step 9500: 0.982733\n",
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"Minibatch accuracy: 86.7%\n",
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"Validation accuracy: 84.7%\n",
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"Minibatch loss at step 10000: 1.174645\n",
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"Minibatch accuracy: 86.7%\n",
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"Validation accuracy: 84.2%\n",
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"Test accuracy: 90.4%\n"
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"Test accuracy: 89.0%\n"
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]
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}
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],
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"source": [
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"num_steps = 10001\n",
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"num_steps = 3001\n",
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"\n",
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"with tf.Session(graph=graph) as session:\n",
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" tf.initialize_all_variables().run()\n",

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