Fix TF Lite text classification tutorial's incorrect indent.

PiperOrigin-RevId: 313064347
Change-Id: I563ddec306e69c6b775cae5306ed32c293282f83
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Khanh LeViet 2020-05-25 05:51:03 -07:00 committed by TensorFlower Gardener
parent b583e81bd4
commit dfda5bc01e

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@ -632,7 +632,7 @@
"id": "EoWiA_zX8rxE"
},
"source": [
"# Advanced Usage\n",
"## Advanced Usage\n",
"\n",
"The `create` function is the critical part of this library in which parameter `model_spec` defines the specification of the model, currently `AverageWordVecModelSpec` and `BertModelSpec` is supported. The `create` function contains the following steps for `AverageWordVecModelSpec`:\n",
"\n",
@ -651,7 +651,7 @@
"id": "mwtiksguDfhl"
},
"source": [
"# Adjust the model\n",
"## Adjust the model\n",
"\n",
"We could adjust the model infrastructure like variables `wordvec_dim`, `seq_len` in `AverageWordVecModelSpec` class.\n"
]
@ -736,7 +736,7 @@
"id": "LvQuy7RSDir3"
},
"source": [
"## Change the training hyperparameters\n",
"### Change the training hyperparameters\n",
"We could also change the training hyperparameters like `epochs` and `batch_size` that could affect the model accuracy. For instance,\n",
"\n",
"* `epochs`: more epochs could achieve better accuracy, but may lead to overfitting.\n",
@ -788,7 +788,7 @@
"id": "Eq6B9lKMfhS6"
},
"source": [
"## Change the Model\n",
"### Change the Model\n",
"\n",
"We could change the model by changing the `model_spec`. The following shows how we change to BERT-base model.\n",
"\n",