Training results mentioned in article https://jgh.xyz/posts/mnist_compare/

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diff --git a/training_results/env1/Adadelta/FashionMNIST b/training_results/env1/Adadelta/FashionMNIST
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+FashionMNIST: Epoch 1 - Avg Loss: 2.294124, Accuracy: 10.71%
+Test Set - Loss: 0.0023, Accuracy: 10.86%
+
+FashionMNIST: Epoch 2 - Avg Loss: 2.267453, Accuracy: 14.25%
+Test Set - Loss: 0.0022, Accuracy: 17.83%
+
+FashionMNIST: Epoch 3 - Avg Loss: 2.210706, Accuracy: 22.83%
+Test Set - Loss: 0.0022, Accuracy: 26.29%
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+FashionMNIST: Epoch 4 - Avg Loss: 2.078048, Accuracy: 35.50%
+Test Set - Loss: 0.0020, Accuracy: 42.70%
+
+FashionMNIST: Epoch 5 - Avg Loss: 1.827185, Accuracy: 45.07%
+Test Set - Loss: 0.0017, Accuracy: 46.73%
+
+FashionMNIST: Epoch 6 - Avg Loss: 1.531203, Accuracy: 52.20%
+Test Set - Loss: 0.0014, Accuracy: 55.85%
+
+FashionMNIST: Epoch 7 - Avg Loss: 1.308085, Accuracy: 58.01%
+Test Set - Loss: 0.0012, Accuracy: 59.48%
+
+FashionMNIST: Epoch 8 - Avg Loss: 1.160160, Accuracy: 61.52%
+Test Set - Loss: 0.0011, Accuracy: 62.39%
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+FashionMNIST: Epoch 9 - Avg Loss: 1.061962, Accuracy: 64.07%
+Test Set - Loss: 0.0010, Accuracy: 64.23%
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+FashionMNIST: Epoch 10 - Avg Loss: 0.995131, Accuracy: 65.63%
+Test Set - Loss: 0.0010, Accuracy: 65.66%
diff --git a/training_results/env1/Adadelta/MNIST b/training_results/env1/Adadelta/MNIST
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+MNIST: Epoch 1 - Avg Loss: 2.302221, Accuracy: 10.17%
+Test Set - Loss: 0.0023, Accuracy: 10.51%
+
+MNIST: Epoch 2 - Avg Loss: 2.293118, Accuracy: 11.44%
+Test Set - Loss: 0.0023, Accuracy: 13.58%
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+MNIST: Epoch 3 - Avg Loss: 2.279814, Accuracy: 19.72%
+Test Set - Loss: 0.0023, Accuracy: 24.54%
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+MNIST: Epoch 4 - Avg Loss: 2.257505, Accuracy: 27.43%
+Test Set - Loss: 0.0022, Accuracy: 31.17%
+
+MNIST: Epoch 5 - Avg Loss: 2.214350, Accuracy: 33.91%
+Test Set - Loss: 0.0022, Accuracy: 40.81%
+
+MNIST: Epoch 6 - Avg Loss: 2.126216, Accuracy: 45.54%
+Test Set - Loss: 0.0021, Accuracy: 54.12%
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+MNIST: Epoch 7 - Avg Loss: 1.959975, Accuracy: 58.98%
+Test Set - Loss: 0.0018, Accuracy: 65.33%
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+MNIST: Epoch 8 - Avg Loss: 1.695727, Accuracy: 65.81%
+Test Set - Loss: 0.0015, Accuracy: 69.91%
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+MNIST: Epoch 9 - Avg Loss: 1.373017, Accuracy: 71.86%
+Test Set - Loss: 0.0012, Accuracy: 75.97%
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+MNIST: Epoch 10 - Avg Loss: 1.089104, Accuracy: 77.41%
+Test Set - Loss: 0.0010, Accuracy: 80.37%