nn.rst

=========
paddle.nn
=========

..  toctree::
    :maxdepth: 1

    nn/adaptive_pool2d.rst
    nn/adaptive_pool3d.rst
    nn/add_position_encoding.rst
    nn/affine_channel.rst
    nn/affine_grid.rst
    nn/anchor_generator.rst
    nn/assign.rst
    nn/BatchNorm.rst
    nn/beam_search.rst
    nn/beam_search_decode.rst
    nn/BilinearTensorProduct.rst
    nn/bipartite_match.rst
    nn/box_clip.rst
    nn/box_coder.rst
    nn/box_decoder_and_assign.rst
    nn/bpr_loss.rst
    nn/brelu.rst
    nn/case.rst
    nn/center_loss.rst
    nn/clip.rst
    nn/clip_by_norm.rst
    nn/collect_fpn_proposals.rst
    nn/cond.rst
    nn/continuous_value_model.rst
    nn/conv2d.rst
    nn/conv2d_transpose.rst
    nn/conv3d.rst
    nn/conv3d_transpose.rst
    nn/cosine_decay.rst
    nn/cross_entropy.rst
    nn/data.rst
    nn/deformable_roi_pooling.rst
    nn/density_prior_box.rst
    nn/detection_output.rst
    nn/dice_loss.rst
    nn/distribute_fpn_proposals.rst
    nn/dropout.rst
    nn/edit_distance.rst
    nn/elu.rst
    nn/Embedding.rst
    nn/erf.rst
    nn/exponential_decay.rst
    nn/filter_by_instag.rst
    nn/fsp_matrix.rst
    nn/gather_tree.rst
    nn/gelu.rst
    nn/generate_mask_labels.rst
    nn/generate_proposal_labels.rst
    nn/generate_proposals.rst
    nn/GradientClipByGlobalNorm.rst
    nn/GradientClipByNorm.rst
    nn/GradientClipByValue.rst
    nn/grid_sampler.rst
    nn/GroupNorm.rst
    nn/hard_shrink.rst
    nn/hard_sigmoid.rst
    nn/hard_swish.rst
    nn/hash.rst
    nn/hsigmoid.rst
    nn/huber_loss.rst
    nn/image_resize.rst
    nn/image_resize_short.rst
    nn/inverse_time_decay.rst
    nn/iou_similarity.rst
    nn/kldiv_loss.rst
    nn/l2_normalize.rst
    nn/label_smooth.rst
    nn/Layer.rst
    nn/LayerList.rst
    nn/LayerNorm.rst
    nn/leaky_relu.rst
    nn/Linear.rst
    nn/linear_lr_warmup.rst
    nn/log_loss.rst
    nn/logsigmoid.rst
    nn/loss.rst
    nn/lrn.rst
    nn/margin_rank_loss.rst
    nn/maxout.rst
    nn/mse_loss.rst
    nn/multiclass_nms.rst
    nn/matrix_nms.rst
    nn/natural_exp_decay.rst
    nn/noam_decay.rst
    nn/npair_loss.rst
    nn/one_hot.rst
    nn/pad.rst
    nn/pad_constant_like.rst
    nn/pad2d.rst
    nn/ParameterList.rst
    nn/piecewise_decay.rst
    nn/pixel_shuffle.rst
    nn/polygon_box_transform.rst
    nn/polynomial_decay.rst
    nn/pool2d.rst
    nn/Pool2D.rst
    nn/pool3d.rst
    nn/prior_box.rst
    nn/prroi_pool.rst
    nn/psroi_pool.rst
    nn/random_crop.rst
    nn/rank_loss.rst
    nn/ReLU.rst
    nn/relu6.rst
    nn/resize_bilinear.rst
    nn/resize_nearest.rst
    nn/resize_trilinear.rst
    nn/retinanet_detection_output.rst
    nn/retinanet_target_assign.rst
    nn/roi_align.rst
    nn/roi_perspective_transform.rst
    nn/roi_pool.rst
    nn/row_conv.rst
    nn/rpn_target_assign.rst
    nn/sampled_softmax_with_cross_entropy.rst
    nn/selu.rst
    nn/Sequential.rst
    nn/shuffle_channel.rst
    nn/sigmoid_cross_entropy_with_logits.rst
    nn/sigmoid_focal_loss.rst
    nn/similarity_focus.rst
    nn/smooth_l1.rst
    nn/soft_relu.rst
    nn/softmax.rst
    nn/softmax_with_cross_entropy.rst
    nn/softplus.rst
    nn/softshrink.rst
    nn/softsign.rst
    nn/space_to_depth.rst
    nn/SpectralNorm.rst
    nn/square_error_cost.rst
    nn/ssd_loss.rst
    nn/swish.rst
    nn/switch_case.rst
    nn/tanh_shrink.rst
    nn/target_assign.rst
    nn/teacher_student_sigmoid_loss.rst
    nn/temporal_shift.rst
    nn/thresholded_relu.rst
    nn/unfold.rst
    nn/warpctc.rst
    nn/while_loop.rst
    nn/yolo_box.rst
    nn/yolov3_loss.rst