Expose RMSProp optimizer. #9247
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pkuyym
reviewed
Mar 20, 2018
python/paddle/fluid/optimizer.py
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| class RMSPropOptimizer(Optimizer): | ||
| """ | ||
| Root Mean Squared Propagation (RMSProp) is an unpublished, adaptive learning | ||
| rate method. The original slides that proposed Rmsprop: Slide 29 of |
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slides that proposed Rmsprop --> slides proposed Rmsprop
python/paddle/fluid/optimizer.py
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| .. math:: | ||
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| r(w, t) & = \\rho r(w, t-1) + (1 - \\rho)(\\nabla Q_{i}(w))^2 \\\\ | ||
| v(w, t) & = \\beta v(w, t-1) + \\frac{\\eta} {\\sqrt{v(w,t) + \\epsilon}} \\nabla Q_{i}(w) |
python/paddle/fluid/optimizer.py
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| learning_rate(float): global leraning rate. | ||
| rho(float): rho is :math: `\\rho` in equation, set 0.95 by default. | ||
| epsilon(float): :math: `\\epsilon` in equation is smoothing term to | ||
| avoids division by zero, set 1e-6 by default. |
python/paddle/fluid/optimizer.py
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| set 0.0 by default. | ||
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| Examples: |
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Add a new section Raises is better.
python/paddle/fluid/optimizer.py
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| self._momentum = momentum | ||
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| def _create_accumulators(self, block, parameters): | ||
| assert isinstance(block, framework.Block) |
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这里是不是也需要改成raise，以免assert在非debug模式下失效？
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Fix #9246