More from lasagne.layers
- .BatchNormLayer()
- .get_all_param_values()
- .ExpressionLayer()
- .ConcatLayer()
- .Conv2DLayer()
- .DropoutLayer()
- .Upscale2DLayer()
- .FlattenLayer()
- .ElemwiseSumLayer()
- .GaussianNoiseLayer()
- .get_output()
- .set_all_param_values()
- .batch_norm()
- .InputLayer()
- .MaxPool2DLayer()
- .concat()
- .NonlinearityLayer()
- .MergeLayer()
- .ReshapeLayer()
- .Layer()
Related Methods
- time.time()
- os.makedirs()
- numpy.array()
- numpy.uint8()
- numpy.mean()
- numpy.concatenate()
- theano.function()
- theano.shared()
- numpy.cast()
- theano.tensor.mean()
- theano.tensor.sum()
- theano.tensor.tensor4()
- theano.tensor.ivector()
- lasagne.layers.dnn.Conv2DDNNLayer()
- lasagne.layers.DropoutLayer()
- lasagne.layers.InputLayer()
- lasagne.layers.DenseLayer()
- theano.tensor.argmax()
- lasagne.layers()
- theano.sandbox.rng_mrg.MRG_RandomStreams()
Python lasagne.layers.GaussianNoiseLayer() Examples
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code examples of lasagne.layers.GaussianNoiseLayer().
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Example #1
Source File: test_native.py From scikit-neuralnetwork with BSD 3-Clause "New" or "Revised" License | 5 votes |
def test_GaussianNoise(self): nn = MLPR(layers=[L("Rectifier", units=12), N(ly.GaussianNoiseLayer), L("Linear")], n_iter=1) self._run(nn)