Deep learning toolkit for LabVIEW.

The Deep Learning Development Module (DLDM) provides hundreds of features for developing and deploying deep learning applications.
The Deep Learning Development Module (DLDM) is designed to help you develop deep learning applications using LabVIEW and deploy those applications on CPU or GPU (CUDA).

Its comprehensive feature library gives you the ability to design models using hundreds of layers and customizations.

Manufacturer : Graiphic

Website : www.haibal.com

First release date : 2022/12/12

Activation Layers

ELU, Exponential, GELU, HardSigmoid, LeakyReLU, Linear, PReLU, ReLU, SELU, Sigmoid, SoftMax, SoftPlus, SoftSign, Swish, TanH, ThresholdedReLU.

Layers

Add, Additive Attention, AlphaDropout, Attention, Average, AvgPool1D, AvgPool2D, AvgPool3D, BatchNormalization, Bidirectional, Concatenate, Conv1DConv1DTranspose, Conv2D, Conv2DTranspose, Conv3D, Conv3DTranspose, ConvLSTM1D, ConvLSTM2D, ConvLSTM3D, Cropping1D, Cropping2D, Cropping3D, Dense, DepthwiseConv2D, Dropout, Flatten, GaussianDropout, GaussianNoise, GlobalAvgPool1D, GlobalAvgPool2D, GlobalAvgPool3D, GlobalMaxPool1D, GlobalMaxPool2D, GlobalMaxPool3D, GRU, LayerNormalization, LSTM, MaxPool1D, MaxPool2D, MaxPool3D, Multiply, Permute3D, Reshape, RNN, SeparableConv1D, SeparableConv2D, SimpleRNN, SpatialDropout1D, SpatialDropout2D, SpatialDropout3D, Substract, TimeDistributed, UpSampling1D, UpSampling2D, UpSampling3D, ZeroPadding1D, ZeroPadding2D, ZeroPadding3D.