diff --git a/examples/01_CNN_FashionMNIST.ipynb b/examples/01_CNN_FashionMNIST.ipynb index 0257ad1..ec6bc4b 100644 --- a/examples/01_CNN_FashionMNIST.ipynb +++ b/examples/01_CNN_FashionMNIST.ipynb @@ -203,7 +203,7 @@ "output_type": "stream", "text": [ "\n", - "The accuracy of Test Data before the training process 0.1389\n" + "The accuracy of Test Data before the training process 0.1001\n" ] } ], @@ -232,7 +232,7 @@ "output_type": "stream", "text": [ "\n", - "The accuracy of Train Data before the training process 0.1401\n" + "The accuracy of Train Data before the training process 0.1\n" ] } ], @@ -259,13 +259,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "\u001b[32mProgress: 100%|█████████████████████████████████████████| Time: 0:20:26\u001b[39m\n", + "\u001b[32mProgress: 100%|█████████████████████████████████████████| Time: 0:19:15\u001b[39m\n", "\u001b[34m Epoch 10: 10\u001b[39m\n", "\u001b[34m Instances 60000: 60000\u001b[39m\n", - "\u001b[34m Test Cost: 0.3473\u001b[39m\n", - "\u001b[34m Test Accuracy: 0.8771\u001b[39m\n", - "\u001b[34m Train Cost: 0.2421\u001b[39m\n", - "\u001b[34m Train Accuracy: 0.9118\u001b[39m\n" + "\u001b[34m Test Cost: 0.3327\u001b[39m\n", + "\u001b[34m Test Accuracy: 0.8808\u001b[39m\n", + "\u001b[34m Train Cost: 0.2407\u001b[39m\n", + "\u001b[34m Train Accuracy: 0.9136\u001b[39m\n" ] } ], @@ -299,139 +299,139 @@ "\n", "\n", "\n", - " \n", + " \n", " \n", " \n", "\n", - "\n", "\n", - " \n", + " \n", " \n", " \n", "\n", - "\n", "\n", - " \n", + " \n", " \n", " \n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" + "\n" ] }, "execution_count": 11, @@ -472,7 +472,7 @@ "output_type": "stream", "text": [ "\n", - "The accuracy of Train Data after the training process 0.9\n" + "The accuracy of Train Data after the training process 0.9023\n" ] } ], @@ -501,7 +501,7 @@ "output_type": "stream", "text": [ "\n", - "The accuracy of Test Data after the training process 0.8773\n" + "The accuracy of Test Data after the training process 0.8809\n" ] } ], @@ -515,7 +515,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Julia 1.4.0", + "display_name": "Julia 1.4.1", "language": "julia", "name": "julia-1.4" }, @@ -523,7 +523,7 @@ "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", - "version": "1.4.0" + "version": "1.4.1" } }, "nbformat": 4,