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satnogs-wut
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use tf keras

master
root 2022-05-29 21:47:20 -06:00
parent b9600fab49
commit 94fd593865
1 changed files with 10 additions and 19 deletions
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notebooks/wut-train.ipynb
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@ -45,20 +45,20 @@
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"from tensorflow.keras import layers\n",
"\n",
"from tensorflow.keras import optimizers\n",
"from tensorflow.keras import Sequential\n",
"from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense\n",
"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
"from tensorflow.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D\n",
"from tensorflow.keras import optimizers\n",
"from tensorflow.keras.preprocessing import image\n",
"from tensorflow.keras.models import load_model\n",
"from tensorflow.keras.preprocessing.image import load_img\n",
"from tensorflow.keras.preprocessing.image import img_to_array\n",
"from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D\n",
"from tensorflow.keras.models import Model\n",
"from tensorflow.keras.layers import Input, concatenate\n",
"from tensorflow.keras.utils import model_to_dot"
"from tensorflow.keras.models import load_model\n",
"from tensorflow.keras.models import Model\n",
"from tensorflow.keras.preprocessing import image\n",
"from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
"from tensorflow.keras.preprocessing.image import img_to_array\n",
"from tensorflow.keras.preprocessing.image import load_img\n",
"from tensorflow.keras.utils import model_to_dot\n",
"from tensorflow.keras.utils import plot_model"
]
},
{
@ -300,7 +300,7 @@
"outputs": [],
"source": [
"#wutoptimizer = 'adam'\n",
"wutoptimizer = keras.optimizers.Adam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, amsgrad=True)\n",
"wutoptimizer = tf.keras.optimizers.Adam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, amsgrad=True)\n",
"\n",
"wutloss = 'binary_crossentropy'\n",
"#wutmetrics = 'accuracy'\n",
@ -457,15 +457,6 @@
"model.save('/srv/satnogs/data/models/GMSK/wut-GMSK-202205.tf')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from keras.utils import plot_model"
]
},
{
"cell_type": "code",
"execution_count": null,