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

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diff --git a/training_results/env1/ReLU_tr001/FashionMNIST b/training_results/env1/ReLU_tr001/FashionMNIST
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+FashionMNIST: Epoch 1 - Avg Loss: 2.286776, Accuracy: 11.10%
+Test Set - Loss: 0.0023, Accuracy: 20.23%
+
+FashionMNIST: Epoch 2 - Avg Loss: 2.093157, Accuracy: 28.33%
+Test Set - Loss: 0.0017, Accuracy: 43.26%
+
+FashionMNIST: Epoch 3 - Avg Loss: 1.219165, Accuracy: 59.18%
+Test Set - Loss: 0.0010, Accuracy: 64.76%
+
+FashionMNIST: Epoch 4 - Avg Loss: 0.898229, Accuracy: 66.46%
+Test Set - Loss: 0.0009, Accuracy: 67.72%
+
+FashionMNIST: Epoch 5 - Avg Loss: 0.829833, Accuracy: 69.22%
+Test Set - Loss: 0.0008, Accuracy: 68.84%
+
+FashionMNIST: Epoch 6 - Avg Loss: 0.793659, Accuracy: 70.45%
+Test Set - Loss: 0.0008, Accuracy: 71.13%
+
+FashionMNIST: Epoch 7 - Avg Loss: 0.767977, Accuracy: 71.28%
+Test Set - Loss: 0.0008, Accuracy: 66.79%
+
+FashionMNIST: Epoch 8 - Avg Loss: 0.745336, Accuracy: 72.42%
+Test Set - Loss: 0.0008, Accuracy: 72.50%
+
+FashionMNIST: Epoch 9 - Avg Loss: 0.726640, Accuracy: 73.26%
+Test Set - Loss: 0.0008, Accuracy: 72.69%
+
+FashionMNIST: Epoch 10 - Avg Loss: 0.710800, Accuracy: 73.79%
+Test Set - Loss: 0.0007, Accuracy: 72.53%
diff --git a/training_results/env1/ReLU_tr001/MNIST b/training_results/env1/ReLU_tr001/MNIST
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+MNIST: Epoch 1 - Avg Loss: 2.301629, Accuracy: 12.35%
+Test Set - Loss: 0.0023, Accuracy: 13.35%
+
+MNIST: Epoch 2 - Avg Loss: 2.297156, Accuracy: 14.30%
+Test Set - Loss: 0.0023, Accuracy: 14.97%
+
+MNIST: Epoch 3 - Avg Loss: 2.290805, Accuracy: 19.35%
+Test Set - Loss: 0.0023, Accuracy: 26.36%
+
+MNIST: Epoch 4 - Avg Loss: 2.278976, Accuracy: 32.53%
+Test Set - Loss: 0.0023, Accuracy: 36.21%
+
+MNIST: Epoch 5 - Avg Loss: 2.247882, Accuracy: 37.81%
+Test Set - Loss: 0.0022, Accuracy: 38.21%
+
+MNIST: Epoch 6 - Avg Loss: 2.111991, Accuracy: 45.10%
+Test Set - Loss: 0.0019, Accuracy: 55.52%
+
+MNIST: Epoch 7 - Avg Loss: 1.385476, Accuracy: 68.85%
+Test Set - Loss: 0.0009, Accuracy: 78.59%
+
+MNIST: Epoch 8 - Avg Loss: 0.709682, Accuracy: 80.62%
+Test Set - Loss: 0.0006, Accuracy: 83.57%
+
+MNIST: Epoch 9 - Avg Loss: 0.551874, Accuracy: 84.08%
+Test Set - Loss: 0.0005, Accuracy: 85.80%
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+MNIST: Epoch 10 - Avg Loss: 0.481764, Accuracy: 85.94%
+Test Set - Loss: 0.0004, Accuracy: 87.28%