LeNet¶

class paddle.vision.models. LeNet ( num_classes=10 ) [source]

LeNet model from “Gradient-based learning applied to document recognition”.

Parameters: num_classes (int, optional) – Output dim of last fc layer. If num_classes <= 0, last fc layer will not be defined. Default: 10.
Returns: Layer. An instance of LeNet model.

Examples

           import paddle
from paddle.vision.models import LeNet

model = LeNet()

x = paddle.rand([1, 1, 28, 28])
out = model(x)

print(out.shape)
# [1, 10]

forward ( inputs ) forward¶

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

*inputs (tuple) – unpacked tuple arguments
**kwargs (dict) – unpacked dict arguments

Used in the guide/tutorials¶

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