dumball11/sorry
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removing sorry spam

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dumball11
2022-02-11 20:47:09 +05:30
parent 4f8f5e3162
commit b2570cc2d3
1 changed files with 0 additions and 2 deletions
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demo.ipynb
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@@ -385,7 +385,6 @@
"source": [ "source": [
"%matplotlib inline\n", "%matplotlib inline\n",
"from keras.preprocessing import image\n", "from keras.preprocessing import image\n",
"# if the img.png is not one of the MNIST dataset that the model was trained on, the error will be very high.\n",
"img = image.load_img(\"./hello.png\", target_size=(28, 28), color_mode = \"grayscale\")\n", "img = image.load_img(\"./hello.png\", target_size=(28, 28), color_mode = \"grayscale\")\n",
"input_img = image.img_to_array(img)\n", "input_img = image.img_to_array(img)\n",
"inputs = input_img.reshape(1,784)\n", "inputs = input_img.reshape(1,784)\n",
@@ -410,7 +409,6 @@
"source": [ "source": [
"%matplotlib inline\n", "%matplotlib inline\n",
"from keras.preprocessing import image\n", "from keras.preprocessing import image\n",
"# if the img.png is not one of the MNIST dataset that the model was trained on, the error will be very high.\n",
"img = image.load_img(\"./1_nlfLUgHUEj5vW7WVJpxY-g.png\", target_size=(28, 28), color_mode = \"grayscale\")\n", "img = image.load_img(\"./1_nlfLUgHUEj5vW7WVJpxY-g.png\", target_size=(28, 28), color_mode = \"grayscale\")\n",
"input_img = image.img_to_array(img)\n", "input_img = image.img_to_array(img)\n",
"inputs = input_img.reshape(1,784)\n", "inputs = input_img.reshape(1,784)\n",