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AIfES 2
2.0.0
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aialgo_sequential_inference.h | Functions required for inference of models |
aialgo_sequential_training.h | Functions required for the training of models |
aifes_basic.h | Include all headers of the AIfES 2 basic module |
aifes_basic_avr_pgm.h | Include all headers of the AIfES 2 basic module with AVR PGM implementations |
aifes_basic_cmsis.h | Include all headers of the AIfES 2 basic module with ARM CMSIS implementations |
aifes_cnn.h | Include all headers of the aifes 2 - cnn module |
aifes_core.h | AIfES 2 core interface |
aifes_express_f32_fnn.h | AIfES Express functions for weights with F32 (float32) data type |
aifes_express_q7_fnn.h | AIfES Express functions for weights with Q7 (int8) data type |
aifes_math.h | AIfES 2 math interface |
ailayer_batch_normalization.h | Base layer implementation of the Batch Normalization layer |
ailayer_batch_normalization_default.h | Default implementation of the Batch Normalization layer |
ailayer_conv2d.h | Base layer implementation of the Conv2D layer |
ailayer_conv2d_default.h | Default implementation of the Conv2D layer |
ailayer_dense.h | Base layer implementation of the Dense layer |
ailayer_dense_avr_pgm.h | Implementation of the Dense layer with parameters in PROGMEM for AVR contoller |
ailayer_dense_cmsis.h | Arm CMSIS implementation of the Dense layer for Arm Cortex processors |
ailayer_dense_default.h | Default implementation of the Dense layer |
ailayer_elu.h | Base layer implementation of the ELU activation layer |
ailayer_elu_avr_pgm.h | AVR PGM implementation of the ELU layer |
ailayer_elu_default.h | Default implementation of the ELU layer |
ailayer_input.h | Base layer implementation of the Input layer |
ailayer_input_default.h | Default implementation of the Input layer |
ailayer_leaky_relu.h | Base layer implementation of the Leaky ReLU activation layer |
ailayer_leaky_relu_avr_pgm.h | AVR PGM implementation of the Leaky ReLU layer |
ailayer_leaky_relu_default.h | Default implementation of the Leaky ReLU layer |
ailayer_maxpool2d.h | Base layer implementation of the MaxPool2D layer |
ailayer_maxpool2d_default.h | Default implementation of the MaxPool2D layer |
ailayer_relu.h | Base layer implementation of the ReLU activation layer |
ailayer_relu_avr_pgm.h | AVR PGM implementation of the ReLU layer |
ailayer_relu_default.h | Default implementation of the ReLU layer |
ailayer_reshape.h | Base layer implementation of the Reshape layer |
ailayer_reshape_default.h | Default implementation of the Reshape layer |
ailayer_sigmoid.h | Base layer implementation of the Sigmoid activation layer |
ailayer_sigmoid_avr_pgm.h | AVR PGM implementation of the Sigmoid layer |
ailayer_sigmoid_default.h | Default implementation of the Sigmoid layer |
ailayer_softmax.h | Base layer implementation of the Softmax activation layer |
ailayer_softmax_avr_pgm.h | AVR PGM implementation of the Softmax layer |
ailayer_softmax_default.h | Default implementation of the Softmax layer |
ailayer_softsign.h | Base layer implementation of the Softsign activation layer |
ailayer_softsign_avr_pgm.h | AVR PGM implementation of the Softsign layer |
ailayer_softsign_default.h | Default implementation of the Softsign layer |
ailayer_tanh.h | Base layer implementation of the Tanh activation layer |
ailayer_tanh_avr_pgm.h | AVR PGM implementation of the Tanh layer |
ailayer_tanh_default.h | Default implementation of the Tanh layer |
ailayer_template.h | [DEPRECATED] This file acts as a reference for new layer structures. Some of the shown functions are mandatory, some are optional |
ailoss_crossentropy.h | Base loss implementation of the Cross-Entropy loss |
ailoss_crossentropy_default.h | Default implementation of the Cross-Entropy loss |
ailoss_mse.h | Base loss implementation of the Mean Squared Error (MSE) loss |
ailoss_mse_default.h | Default implementation of the Mean Squared Error loss |
aimath_basic.h | Basic data-type independent math operations |
aimath_cnn_f32_default.h | Math functions for F32 data type, CNN-specific implementation |
aimath_f32.h | Definition of the F32 (aif32) data-type |
aimath_f32_avr_pgm.h | Math functions for F32 data type using AVR pgmspace.h library for constant data storage |
aimath_f32_cmsis.h | |
aimath_f32_default.h | Math functions for F32 data type, default implementation |
aimath_q31.h | Definition of the Q31 (aiq31) data-type |
aimath_q31_cmsis.h | |
aimath_q31_default.h | Math functions for Q31 data type, default implementation |
aimath_q7.h | Definition of the Q7 (aiq7) data-type |
aimath_q7_avr_pgm.h | Math functions for Q7 data type using AVR pgmspace.h library for constant data storage |
aimath_q7_cmsis.h | |
aimath_q7_default.h | Math functions for Q7 data type, default implementation |
aimath_u8.h | Definition of the U8 (aiu8) data-type |
aiopti_adam.h | Base optimizer implementation of the Adam optimizer |
aiopti_adam_default.h | Default implementation of the Adam optimizer |
aiopti_sgd.h | Base optimizer implementation of the Stochastic Gradient Descent (with momentum) optimizer |
aiopti_sgd_default.h | Default implementation of the Stochastic Gradient Descend optimizer |