Welcome to our Support Center
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SOTA
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Accelerator Toolkit
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Deep Learning Toolkit
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- Exp
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- Add
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- Attention
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- AdditiveAttention
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- AdditiveAttention
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- AdditiveAttention
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- Dense
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- PReLU 2D
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- Bidirectional
- GRU
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- Dense
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- AdditiveAttention
- Attention
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- Conv1D
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- PReLU 2D
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- Bidirectional
- GRU
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- RNN (GRU)
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- Accuracy
- BinaryAccuracy
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- Specificity
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- TrueNegatives
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- Dense
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- AdditiveAttention
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- PReLU 2D
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- Dense
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- LayerNormalization
- PReLU 2D
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- GRU
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Computer Vision Toolkit
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CUDA Toolkit
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- Resume
- Array size
- Index Array
- Replace Subset
- Insert Into Array
- Delete From Array
- Initialize Array
- Build Array
- Concatenate Array
- Array Subset
- Min & Max
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- Increment Array Element
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- Interpolate 1D Array
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- Transpose Array
- Remove Duplicate From 1D Array
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- Absolute
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- Round Toward -Infinity
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- Scale By Power Of Two
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Updated
Layers
This section show the different layer design icons.
Activation
Activation layers icons.
Convolution
Convolution layers icons.
Dense
Dense layer icon.
Dropout
Dropout layers icons.
Input
Input layers icons.
Multi-input
Multi-input layers icons.
Normalization
Normalization layers icons.
Other
Other layers icons.
Pooling
Pooling layers icons.
Recurrent
Reccurent layers icons.
Regularization
Regularization layers icons.
Wrapper
Wrapper layers icons.
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