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satnogs-wut
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update keras in more notebooks

master
root 2022-05-29 16:19:38 -06:00
parent b70aadee1a
commit 9c26f46464
4 changed files with 44 additions and 117 deletions
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111
notebooks/wut-web-alpha.ipynb
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4
notebooks/wut-web-beta.ipynb
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@ -26,8 +26,8 @@
"from IPython.display import display, Image\n",
"from IPython.utils import text\n",
"from PIL import Image as im\n",
"from tensorflow.python.keras.models import load_model\n",
"from tensorflow.python.keras.preprocessing.image import ImageDataGenerator"
"from keras.models import load_model\n",
"from keras.preprocessing.image import ImageDataGenerator"
]
},
{

4
notebooks/wut-web.ipynb
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@ -19,8 +19,8 @@
"import tensorflow as tf\n",
"from IPython.display import display, Image\n",
"from IPython.utils import text\n",
"from tensorflow.python.keras.models import load_model\n",
"from tensorflow.python.keras.preprocessing.image import ImageDataGenerator\n",
"from keras.models import load_model\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"\n",
"display(Image(filename='/srv/satnogs/satnogs-wut/pics/spacecruft-bk.png'))"
]

42
notebooks/wut.ipynb
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@ -78,7 +78,7 @@
"metadata": {},
"outputs": [],
"source": [
"import tensorflow.python.keras"
"import keras"
]
},
{
@ -87,34 +87,18 @@
"metadata": {},
"outputs": [],
"source": [
"from tensorflow.python.keras import Sequential\n",
"from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense\n",
"from tensorflow.python.keras.preprocessing.image import ImageDataGenerator\n",
"from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D\n",
"from tensorflow.python.keras import optimizers\n",
"from tensorflow.python.keras.preprocessing import image\n",
"from tensorflow.python.keras.models import load_model\n",
"from tensorflow.python.keras.preprocessing.image import load_img\n",
"from tensorflow.python.keras.preprocessing.image import img_to_array"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from tensorflow.python.keras.models import Model\n",
"from tensorflow.python.keras.layers import Input, concatenate"
"from keras import Sequential\n",
"from keras.layers import Activation, Dropout, Flatten, Dense\n",
"from keras.preprocessing.image import ImageDataGenerator\n",
"from keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D\n",
"from keras import optimizers\n",
"from keras.preprocessing import image\n",
"from keras.models import load_model\n",
"#from keras.preprocessing.image import load_img\n",
"#from keras.preprocessing.image import img_to_array\n",
"from keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D\n",
"from keras.models import Model\n",
"from keras.layers import Input, concatenate"
]
},
{