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IDL Machine Learning
| Run machine learning applications on numerical data. Create and train models and apply them in classification, clustering, or regression applications. |
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IDL Machine Learning Routines
| Provides a list of routines used in machine learning. |
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IDLmlafArcTan
| Implements an arc tangent activation function. |
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IDLmlafBentIdentity
| Implements a bent identity activation function. |
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IDLmlafBinaryStep
| Implements a binary step activation function. |
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IDLmlafELU
| Implements an exponential linear unit activation function. |
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IDLmlafGaussian
| Implements a Gaussian activation function. |
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IDLmlafIdentity
| Implements an identity activation function. |
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IDLmlafISRLU
| Implements an inverse square root linear unit activation function. |
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IDLmlafISRU
| Implements an inverse square root unit activation function. |
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IDLmlafLogistic
| Implements a logistic activation function. |
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IDLmlafPReLU
| Implements a parametric rectified linear unit activation function. |
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IDLmlafReLU
| Implements a rectified linear unit activation function. |
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IDLmlafSinc
| Implements a sinc activation function. |
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IDLmlafSinusoid
| Implements a sinusoidal activation function. |
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IDLmlafSoftExponential
| Soft exponential activation function. |
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IDLmlafSoftmax
| Softmax activation function. |
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IDLmlafSoftPlus
| Soft plus activation function. |
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IDLmlafSoftSign
| Soft sign activation function. |
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IDLmlafTanH
| Hyperbolic Tangent activation function. |
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IDLmlAutoEncoder
| Implements an autoencoder model that can be used for clustering purposes. |
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IDLmlFeedForwardNeuralNetwork
| Implements a Neural Network model that can be used for classification purposes. |
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IDLmlKMeans
| Implements a K-means model that can be used for clustering purposes. |
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IDLmllfCrossEntropy
| Cross entropy loss function. |
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IDLmllfHuber
| Huber loss function. |