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wut-train jupyter save actual training h5 data

master
ml server 2020-01-16 19:38:20 -07:00
parent 57f4ef6146
commit 759f0d9f70
1 changed files with 6 additions and 32 deletions
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jupyter/wut-train.ipynb
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@ -8,7 +8,9 @@
"source": [
"# wut-train --- What U Think? SatNOGS Observation AI, training application.\n",
"#\n",
"# https://spacecruft.org/spacecruft/satnogs-wut"
"# https://spacecruft.org/spacecruft/satnogs-wut\n",
"#\n",
"# Based on data/train and data/val directories builds a wut.h5 file."
]
},
{
@ -29,22 +31,6 @@
"# Built using Jupyter, Tensorflow, Keras"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Other data to consider adding:\n",
"# * JSON metadata\n",
"# * TLE\n",
"# * Audio File (ogg)\n",
"# https://www.tensorflow.org/io/api_docs/python/tfio/ffmpeg/AudioDataset\n",
"# * Decoded Data (HEX, ASCII, PNG)\n",
"# Data from external sources to consider adding:\n",
"# * Weather"
]
},
{
"cell_type": "code",
"execution_count": null,
@ -631,21 +617,9 @@
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
"source": [
"model.save('data/wut.h5')"
]
},
{
"cell_type": "code",