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Release Notes V1.3.0
Date of release
17 March 2023
Features
Layers
Native LabVIEW GPU (CUDA) Add2D done done Add3D done done Add4D done done Additive Attention done done AlphaDropout2D done done AlphaDropout3D done done AlphaDropout4D done done AlphaDropout5D done done Attention done done Average2D done done Average3D done done Average4D done done AvgPool1D done done AvgPool2D done done AvgPool3D done done BatchNormalization2D done done BatchNormalization3D done done BatchNormalization4D done done BatchNormalization5D done done BatchNormalization6D done done Bidirectional done done Concatenate done done Conv1D done done Conv1DTranspose done done Conv2D done done Conv2DTranspose done done Conv3D done done Conv3DTranspose done done ConvLSTM1D done Next release ConvLSTM2D done Next release ConvLSTM3D done Next release Cropping1D done done Cropping2D done done Cropping3D done done Dense done done DepthwiseConv2D done Next release Dropout2D done done Dropout3D done done Dropout4D done done Dropout5D done done Embedding done done Flatten done done GaussianDropout2D done done GaussianDropout3D done done GaussianDropout4D done done GaussianDropout5D done done GaussianNoise2D done done GaussianNoise3D done done GaussianNoise4D done done GaussianNoise5D done done GlobalAvgPool1D done done GlobalAvgPool2D done done GlobalAvgPool3D done done GlobalMaxPool1D done done GlobalMaxPool2D done done GlobalMaxPool3D done done GRU done done LayerNormalization2D done done LayerNormalization3D done done LayerNormalization4D done done LayerNormalization5D done done LSTM done done MaxPool1D done done MaxPool2D done done MaxPool3D done done MultiHeadAttention done done Multiply2D done done Multiply3D done done Permute3D done Next release Reshape done done RNN done done SeparableConv1D done Next release SeparableConv2D done Next release SimpleRNN done done SpatialDropout1D done done SpatialDropout2D done done SpatialDropout3D done done Substract2D done done Substract3D done done Substract4D done done Substract5D done done TimeDistributed done Next release UpSampling1D done done UpSampling2D done done UpSampling3D done done ZeroPadding1D done done ZeroPadding2D done done ZeroPadding3D done done Enhancement
– Load H5 model from Keras is now totaly working with HAIBAL.
– We adopt the H5 for saving model.
– Get & Set layer activation now is available.
– Improve Get & Set Idx system security to avoid errors.
– Release U-Net: Convolutional Networks for Biomedical Image Segmentation model
– Added dilation rate for convolution
– Added 2 – 3 -4 -5 -6 D metrics (AUC, Accuracy, BinaryAccuracy, BinaryCrossentropy, BinaryIoU, CategoricalAccuracy, CategoricalCrossentropy, CategoricalHinge, CosineSimilarity, FalseNegatives, FalsePositives, Hinge, Huber, IoU, KLDivergence, LogCoshError, Mean, MeanAbsoluteError, MeanAbsolutePercentageError, MeanIoU, MeanRelativeError, MeanSquaredError, MeanSquaredLogarithmicError, MeanTensor, OneHotIoU, OneHotMeanIoU, Poisson, Precision, PrecisionAtRecall, Recall, RecallAtPrecision, RootMeanSquaredError, Sensitivity, SensitivityAtSpecificity, SparseCategoricalAccuracy, SparseCategoricalCrossentropy, SparseTopKCategoricalAccuracy, Specificity, SpecificityAtSensitivity, SquaredHinge, Sum, TopKCategoricalAccuracy, TrueNegatives, TruePositives)
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