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[High-Level-API] Update MNIST to use optimizer_func#535
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jetfuel merged 4 commits intoPaddlePaddle:high-level-api-branchfrom Jun 6, 2018
Merged
[High-Level-API] Update MNIST to use optimizer_func#535jetfuel merged 4 commits intoPaddlePaddle:high-level-api-branchfrom
jetfuel merged 4 commits intoPaddlePaddle:high-level-api-branchfrom
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sidgoyal78
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Jun 6, 2018
02.recognize_digits/README.md
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| 1. `train_program`: A function that specify how to get avg_cost from `inference_program` and labels. | ||
| This is where you specify the loss calculations. | ||
| 1. `optimizer`: Configure how to minimize the loss. Paddle supports most major optimization methods. | ||
| 1. `optimizer_func`: Configure how to minimize the loss. Paddle supports most major optimization methods. |
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Can we elaborate a bit? I like the description of the train_program. Can we write something like "A function that specifies the configuration of the the optimizer. The optimizer is responsible for minimizing the loss and driving the training. Paddle supports many different optimizers."
02.recognize_digits/README.md
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| #### Optimizer Function Configuration | ||
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| In the following `Adam` optimizer, `learning_rate` means the speed at which the network training converges. |
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Can we rephrase: learning_rate specifies the learning rate in the optimization procedure.
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