use tf keras
parent
b9600fab49
commit
94fd593865
|
@ -45,20 +45,20 @@
|
||||||
"import tensorflow as tf\n",
|
"import tensorflow as tf\n",
|
||||||
"from tensorflow import keras\n",
|
"from tensorflow import keras\n",
|
||||||
"from tensorflow.keras import layers\n",
|
"from tensorflow.keras import layers\n",
|
||||||
"\n",
|
"from tensorflow.keras import optimizers\n",
|
||||||
"from tensorflow.keras import Sequential\n",
|
"from tensorflow.keras import Sequential\n",
|
||||||
"from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense\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.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.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.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": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
"#wutoptimizer = 'adam'\n",
|
"#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",
|
"\n",
|
||||||
"wutloss = 'binary_crossentropy'\n",
|
"wutloss = 'binary_crossentropy'\n",
|
||||||
"#wutmetrics = 'accuracy'\n",
|
"#wutmetrics = 'accuracy'\n",
|
||||||
|
@ -457,15 +457,6 @@
|
||||||
"model.save('/srv/satnogs/data/models/GMSK/wut-GMSK-202205.tf')"
|
"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",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
|
|
Loading…
Reference in New Issue