Basic Methods
The Basic type exposes the following members.
Methods
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Activation |
Applies an activation function to an output.
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BatchNorm(Variable, Single, String, String, String, String, Boolean, Single, Single) |
Batch normalization layer (Ioffe and Szegedy, 2014). Normalize the activations of the previous layer at each batch, i.e.applies a transformation that maintains the mean activation close to 0 and the activation standard deviation close to 1.
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BatchNorm(Int32, Single, String, String, String, String, Boolean, Single, Single) |
Batches the norm.
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Dense(Int32, Int32, String, Boolean, String, String) |
Dense implements the operation: output = activation(dot(input, kernel) + bias) where activation is the element-wise activation function passed as the activation argument, kernel is a weights matrix created by the layer, and bias is a bias vector created by the layer (only applicable if use_bias is True).
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Dense(Variable, Int32, String, Boolean, String, String) |
Denses the specified layer.
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Dropout |
Dropout consists in randomly setting a fraction rate of input units to 0 at each update during training time, which helps prevent overfitting.
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Equals(System.Object) | (Inherited from Object.) |
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Finalize | (Inherited from Object.) |
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GetHashCode | (Inherited from Object.) |
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GetType | (Inherited from Object.) |
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MemberwiseClone | (Inherited from Object.) |
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ToString | (Inherited from Object.) |