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Recognize digits new api first draft #528
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| @@ -124,183 +136,179 @@ PaddlePaddle provides a Python module, `paddle.dataset.mnist`, which downloads a | |||
| |t10k-labels-idx1-ubyte | Evaluation labels | 10,000 | | |||
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| ## Fluid API Overview | |||
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This is good summarization. Should we include that in Chapter 1? @daming-lu
02.recognize_digits/README.md
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| predict = paddle.layer.fc(input=img, | ||
| size=10, | ||
| act=paddle.activation.Softmax()) | ||
| return predict | ||
| ``` | ||
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| - Multi-Layer Perceptron: this network has two hidden fully-connected layers, one with ReLU and the other with softmax activation: | ||
| - Multi-Layer Perceptron: this network has two hidden fully-connected layers, both are using ReLU as activation functino. The output layer is using softmax activation: |
02.recognize_digits/README.md
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| `batch` is a special decorator, which takes a reader and outputs a *batch reader*, which doesn't yield an instance, but a minibatch at a time. | ||
| ```python | ||
| use_cude = False # set to True if training with GPU |
| ``` | ||
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| PaddlePaddle provides a special layer `layer.data` for reading data. Let us create a data layer for reading images and connect it to a classification network created using one of above three functions. We also need a cost layer for training the model. | ||
| #### Train Program Configuration |
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Do you intend to make this section a child under Program Functions Configuration? Or it should be just ###
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I do feel it should be under the Program Functions Configuration since it is a program function. What do you think? @nickyfantasy
daming-lu
reviewed
Jun 1, 2018
| @@ -124,183 +136,179 @@ PaddlePaddle provides a Python module, `paddle.dataset.mnist`, which downloads a | |||
| |t10k-labels-idx1-ubyte | Evaluation labels | 10,000 | | |||
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| ## Fluid API Overview | |||
| @@ -124,183 +136,177 @@ PaddlePaddle provides a Python module, `paddle.dataset.mnist`, which downloads a | |||
| |t10k-labels-idx1-ubyte | Evaluation labels | 10,000 | | |||
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| ## Fluid API Overview | |||
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| The demo will be using the latest paddle fluid API. Fluid API is the latest Paddle API. It simplifies the model configurations without sacrifice the performance. | |||
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| The demo will be using the latest paddle fluid API. Fluid API is the latest Paddle API. It simplifies the model configurations without sacrifice the performance. | ||
| We recommend using Fluid API as it is much easier to pick up. | ||
| Here are the quick overview on the major fluid API complements. |
| We recommend using Fluid API as it is much easier to pick up. | ||
| Here are the quick overview on the major fluid API complements. | ||
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| 1. `inference_program`: A function that specify how to get the prediction from the data input. |
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| 1. `inference_program`: A function that specify how to get the prediction from the data input. | ||
| This is where you specify the network flow. | ||
| 1. `train_program`: A function that specify how to get avg_cost from `inference_program` and labels. |
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| ## Application | |||
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| After training, users can use the trained model to classify images. The following code shows how to inference MNIST images through `paddle.infer` interface. | |||
| After training, users can use the trained model to classify images. The following code shows how to inference MNIST images through `fluid.Inferencer`. | |||
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how to infer or do inference
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This PR cover a bit of the Chinese version. Please don't mind them. I will focus on the English version first. and port the update to Chinese later.