layer = spatialDropoutLayer(Name="spat_drop1",Probability=0.25) layer = SpatialDropoutLayer with properties: Name: 'spat_drop1' Probability: 0.2500 Learnable Parameters No properties. State Parameters No properties. Use properties method to see a list of all properties. ...
MPSRnnMatrixInferenceLayer MPSRnnMatrixTrainingLayer MPSRnnMatrixTrainingState MPSRnnRecurrentImageState MPSRnnRecurrentMatrixState MPSRnnSequenceDirection MPSRnnSingleGateDescriptor MPSScaleTransform MPSSize MPSState MPSStateBatch MPSStateResourceList MPSStateResourceType MPSStateTextureInfo MPSTempora...
c Spatial distributions of excitatory layer 3/4 RORB+RPS3P6+ neurons predicted by the deconvolution methods for the DLPFC dataset. d Accuracy scores of the deconvolution methods for the DLPFC dataset. Bar height, mean value; whiskers, mean values ± 95% confidence intervals; n = 56 ...
jump-dev/MathOptInterface.jl: An abstraction layer for mathematical optimization solvers. tpapp/MultistartOptimization.jl: Multistart optimization methods in Julia. bbopt/NOMAD.jl: Julia interface to the NOMAD blackbox optimization software JuliaFirstOrder NicolasL-S/SpeedMapping.jl: General fixed point...
普通的CNN能够显示的学习平移不变性,以及隐式的学习旋转不变性,但attention model 告诉我们,与其让网络隐式的学习到某种能力,不如为网络设计一个显式的处理模块,专门处理以上的各种变换。因此,DeepMind就设计了Spatial Transformer Layer,简称STL来完成这样的功能。
To efficiently determine the temporal relationship of the frequency–spatial domain features, two GRU layers are used in stage 2, and each GRU layer is followed by a dropout layer, which is used to randomly eliminate the connections between the GRU layer and the subsequent connected layers to pr...
After reaching criterion on the task, animals were implanted with a microdrive and, over a few weeks, tetrodes were gradually lowered into the pyramidal cell layer of the dorsal CA1 region of the hippocampus. Neural activity (spikes and local field potentials; LFP) was then recorded as ...
Then the batch normalization layer output is passed to a fully connected layer with 512 neurons and RELU activation function; a dropout layer with a percentage of 20% is added to avoid overfitting by randomly eliminating some of the neurons; and finally, a fully connected layer with 41 neurons...
MPSRnnMatrixInferenceLayer MPSRnnMatrixTrainingLayer MPSRnnMatrixTrainingState MPSRnnRecurrentImageState MPSRnnRecurrentMatrixState MPSRnnSequenceDirection MPSRnnSingleGateDescriptor MPSScaleTransform MPSSize MPSState MPSStateBatch MPSStateResourceList MPSStateResourceType MPSStateTextureInfo MPSTempora...
(8.95 µm2). A cell was labeled as positive if there was plaque within the 75.68 × 75.68 µm2image patch centered at the cell and it was labeled as negative otherwise. The hidden layers used leaky ReLU activation69and a dropout rate of 0.5. The output layer used ReLU...