diff --git a/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification.rst b/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification.rst index 087c9a77c33e6aa6d20be2c6702d71f2cbc65d02..9305d3994fad93d9807e28b81e26088e8c93b314 100644 --- a/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification.rst +++ b/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification.rst @@ -67,7 +67,7 @@ -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification_files/convnet_image_classification_001.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification_files/convnet_image_classification_001.png?raw=true 组建网络 @@ -246,7 +246,7 @@ -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification_files/convnet_image_classification_002.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/cv_case/convnet_image_classification/convnet_image_classification_files/convnet_image_classification_002.png?raw=true The End diff --git a/doc/paddle/tutorial/cv_case/image_segmentation/pets_image_segmentation_U_Net_like.rst b/doc/paddle/tutorial/cv_case/image_segmentation/pets_image_segmentation_U_Net_like.rst index 441b51db7ffafd8ee31474e251ee1add8cf752bf..7b96f98bf48859608a92272cafb92f309b37d4ec 100644 --- a/doc/paddle/tutorial/cv_case/image_segmentation/pets_image_segmentation_U_Net_like.rst +++ b/doc/paddle/tutorial/cv_case/image_segmentation/pets_image_segmentation_U_Net_like.rst @@ -326,7 +326,7 @@ DataLoader（多进程数据集加载）。 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/cv_case/image_segmentation/pets_image_segmentation_U_Net_like_files/pets_image_segmentation_U_Net_like_001.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/cv_case/image_segmentation/pets_image_segmentation_U_Net_like_files/pets_image_segmentation_U_Net_like_001.png?raw=true 4.模型组网 diff --git a/doc/paddle/tutorial/cv_case/mnist_lenet_classification/mnist_lenet_classification.rst b/doc/paddle/tutorial/cv_case/mnist_lenet_classification/mnist_lenet_classification.rst index 9e48bebb50e4746cc80a95ca9acb7ced7fe4464e..a30ec8807c39f3e967752cbca66d1faab08b363a 100644 --- a/doc/paddle/tutorial/cv_case/mnist_lenet_classification/mnist_lenet_classification.rst +++ b/doc/paddle/tutorial/cv_case/mnist_lenet_classification/mnist_lenet_classification.rst @@ -60,7 +60,7 @@ MNIST数据集使用LeNet进行图像分类 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/cv_case/image_segmentation/mnist_lenet_classification_files/mnist_lenet_classification_001.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/cv_case/image_segmentation/mnist_lenet_classification_files/mnist_lenet_classification_001.png?raw=true 组网 diff --git a/doc/paddle/tutorial/nlp_case/n_gram_model/n_gram_model.rst b/doc/paddle/tutorial/nlp_case/n_gram_model/n_gram_model.rst index 7b12964e909a34df828ea28ea0c7555729ef6e63..871042e24c1542af703d5487edc09ddc1e254b66 100644 --- a/doc/paddle/tutorial/nlp_case/n_gram_model/n_gram_model.rst +++ b/doc/paddle/tutorial/nlp_case/n_gram_model/n_gram_model.rst @@ -254,7 +254,7 @@ context_size设为2，意味着是trigram。embedding_dim设为256。 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/nlp_case/n_gram_model/n_gram_model_files/n_gram_model_001.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/nlp_case/n_gram_model/n_gram_model_files/n_gram_model_001.png?raw=true 预测 diff --git a/doc/paddle/tutorial/quick_start/linear_regression/linear_regression.rst b/doc/paddle/tutorial/quick_start/linear_regression/linear_regression.rst index db7fa710dd45abe57e4755680b1637f9fbc87f43..49c818142635095a9b860211b94bec2c050d50ed 100644 --- a/doc/paddle/tutorial/quick_start/linear_regression/linear_regression.rst +++ b/doc/paddle/tutorial/quick_start/linear_regression/linear_regression.rst @@ -82,7 +82,7 @@ NOTE: 本示例教程是基于2.0beta版本开发 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_001.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_001.png?raw=true .. code:: ipython3 @@ -96,7 +96,7 @@ NOTE: 本示例教程是基于2.0beta版本开发 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_002.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_002.png?raw=true **数据归一化处理**\ 下图为大家展示各属性的取值范围分布： @@ -115,7 +115,7 @@ NOTE: 本示例教程是基于2.0beta版本开发 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_003.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_003.png?raw=true 从上图看出，我们各属性的数值范围差异太大，甚至不能够在一个画布上充分的展示各属性具体的最大、最小值以及异常值等。下面我们进行归一化。 @@ -169,7 +169,7 @@ NOTE: 本示例教程是基于2.0beta版本开发 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_004.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_004.png?raw=true .. code:: ipython3 @@ -287,7 +287,7 @@ NOTE: 本示例教程是基于2.0beta版本开发 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_005.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_005.png?raw=true 可以从上图看出，随着训练轮次的增加，损失在呈降低趋势。但由于每次仅基于少量样本更新参数和计算损失，所以损失下降曲线会出现震荡。 @@ -351,7 +351,7 @@ NOTE: 本示例教程是基于2.0beta版本开发 -.. image:: https://github.com/PaddlePaddle/FluidDoc/tree/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_001.png?raw=true +.. image:: https://github.com/PaddlePaddle/FluidDoc/blob/develop/doc/paddle/tutorial/quick_start/linear_regression/linear_regression_files/linear_regression_001.png?raw=true 上图可以看出，我们训练出来的模型的预测结果与真实结果是较为接近的。