Here is a list of all class members with links to the classes they belong to:

- l -

• label_encoder : mic::applications::MNISTPatchSoftmaxApplication
• lastLayerBatchSize() : mic::mlnn::MultiLayerNeuralNetwork< eT >
• lastLayerOutputsSize() : mic::mlnn::MultiLayerNeuralNetwork< eT >
• Layer() : mic::mlnn::Layer< eT >
• layer : mic::neural_nets::unit_tests::Conv28x28x1Filter2x28x28s1Double , mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double , mic::neural_nets::unit_tests::Conv3x3x2Filter3x2x2s1Float , mic::neural_nets::unit_tests::Conv4x4x1Filter1x2x2s2Float , mic::neural_nets::unit_tests::Conv4x4x1Filter3x1x1s3Double , mic::neural_nets::unit_tests::Conv5x5x1Filter1x2x2s3Float , mic::neural_nets::unit_tests::Conv5x5x1Filter1x3x3s1Float , mic::neural_nets::unit_tests::Conv5x6x1Filter1x4x4s1Float , mic::neural_nets::unit_tests::Conv7x7x3Filter3x3x3s2Float , mic::neural_nets::unit_tests::Conv8x8x1Filter2x4x4s4Double , mic::neural_nets::unit_tests::Linear1x1Float , mic::neural_nets::unit_tests::Linear2x3Double , mic::neural_nets::unit_tests::Linear2x3Float , mic::neural_nets::unit_tests::Linear50x100Double , mic::neural_nets::unit_tests::Linear5x2Float , Softmax4x1Float
• layer_name : mic::mlnn::Layer< eT >
• layer_type : mic::mlnn::Layer< eT >
• layerInputsSize() : mic::mlnn::MultiLayerNeuralNetwork< eT >
• layers : mic::mlnn::MultiLayerNeuralNetwork< eT >
• lazyAllocateMatrixVector() : mic::mlnn::Layer< eT >
• lazyReturnChannelFromSample() : mic::mlnn::Layer< eT >
• lazyReturnInputChannel() : mic::mlnn::Layer< eT >
• lazyReturnInputSample() : mic::mlnn::Layer< eT >
• lazyReturnOutputChannel() : mic::mlnn::Layer< eT >
• lazyReturnOutputSample() : mic::mlnn::Layer< eT >
• lazyReturnSampleFromBatch() : mic::mlnn::Layer< eT >
• Linear() : mic::mlnn::fully_connected::Linear< eT >
• Linear1x1Float() : mic::neural_nets::unit_tests::Linear1x1Float
• Linear2x3Double() : mic::neural_nets::unit_tests::Linear2x3Double
• Linear2x3Float() : mic::neural_nets::unit_tests::Linear2x3Float
• Linear50x100Double() : mic::neural_nets::unit_tests::Linear50x100Double
• Linear5x2Float() : mic::neural_nets::unit_tests::Linear5x2Float
• load() : mic::mlnn::MultiLayerNeuralNetwork< eT >
• loss : mic::mlnn::BackpropagationNeuralNetwork< eT > , mic::neural_nets::unit_tests::Conv28x28x1Filter2x28x28s1Double , mic::neural_nets::unit_tests::Conv2x2x2Filter2x1x1s1Double , mic::neural_nets::unit_tests::Conv4x4x1Filter3x1x1s3Double , mic::neural_nets::unit_tests::Conv8x8x1Filter2x4x4s4Double , mic::neural_nets::unit_tests::Linear2x3Double , mic::neural_nets::unit_tests::Linear2x3Float , mic::neural_nets::unit_tests::Linear50x100Double