[HTML]利用CSS对DIV中的文字进行两端对齐-马春杰杰

在head标签内新建：

<style>
div.justify { padding:5px; margin:0 auto ; font-size:19px; text-align: justify; width:65%;  border:1px solid green; }
div.justify > span { display: inline-block /* Opera */; padding-left: 100%; }
</style>

<style>

div.justify { padding:5px; margin:0 auto ; font-size:19px; text-align: justify; width:65%; border:1px solid green; }

div.justify > span { display: inline-block /* Opera */; padding-left: 100%; }

</style>

然后，新建div

<center><h1>神经网络模型可视化工具<h1></center>
<br>
<div class="justify">
<font>支持 ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Core ML (.mlmodel), Caffe (.caffemodel, .prototxt), Caffe2 (predict_net.pb, predict_net.pbtxt)<br><br><br>
MXNet (.model, -symbol.json), TorchScript (.pt, .pth), NCNN (.param) and TensorFlow Lite (.tflite).
<br><br><br>
PyTorch (.pt, .pth), Torch (.t7), CNTK (.model, .cntk), Deeplearning4j (.zip), PaddlePaddle (.zip, __model__), Darknet (.cfg), scikit-learn (.pkl)<br><br><br>
TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta, .pbtxt).</font>
</div>

<center><h1>神经网络模型可视化工具<h1></center>

<br>

<font>支持 ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Core ML (.mlmodel), Caffe (.caffemodel, .prototxt), Caffe2 (predict_net.pb, predict_net.pbtxt)<br><br><br>

MXNet (.model, -symbol.json), TorchScript (.pt, .pth), NCNN (.param) and TensorFlow Lite (.tflite).

PyTorch (.pt, .pth), Torch (.t7), CNTK (.model, .cntk), Deeplearning4j (.zip), PaddlePaddle (.zip, __model__), Darknet (.cfg), scikit-learn (.pkl)<br><br><br>