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- paddle
  - abs
  - acos
  - acosh
  - add
  - add_n
  - addmm
  - all
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  - amax
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  - angle
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  - as_complex
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  - asin
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  - assign
  - atan
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  - batch
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  - bmm
  - broadcast_shape
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  - bucketize
  - cast
  - cdist
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  - chunk
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  - conj
  - cos
  - cosh
  - count_nonzero
  - CPUPlace
  - create_parameter
  - crop
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  - cumprod
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  - deg2rad
  - diag
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  - disable_signal_handler
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  - dist
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  - dtype
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  - empty_like
  - enable_grad
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  - equal
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  - erf
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  - flops
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  - gather
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  - gcd
  - get_cuda_rng_state
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  - grad
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  - imag
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  - index_put
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  - is_complex
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  - is_integer
  - is_tensor
  - isclose
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  - LazyGuard
  - lcm
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  - lerp
  - less_equal
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  - load
  - log
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  - logical_and
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  - logit
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  - masked_select
  - matmul
  - max
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  - meshgrid
  - min
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  - mm
  - mode
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  - multinomial
  - multiplex
  - multiply
  - mv
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  - neg
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  - numel
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  - outer
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  - real
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  - renorm
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  - reshape
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  - roll
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  - round
  - rsqrt
  - save
  - scale
  - scatter
  - scatter_
  - scatter_nd
  - scatter_nd_add
  - searchsorted
  - seed
  - set_cuda_rng_state
  - set_default_dtype
  - set_flags
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  - sgn
  - shape
  - shard_index
  - sign
  - sin
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  - slice
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  - sqrt
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  - squeeze
  - squeeze_
  - stack
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  - subtract
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  - summary
  - t
  - take
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  - tan
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  - Tensor
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  - trunc
  - unbind
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  - uniform
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  - unsqueeze
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  - unstack
  - vander
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  - where
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- paddle.amp
- paddle.audio
  - backends
  - datasets
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  - features
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- paddle.autograd
- paddle.callbacks
- paddle.device
- paddle.distributed
- paddle.distribution
- paddle.enable_grad
  - html
- paddle.fft
  - fft
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  - hfft
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  - hfftn
  - ifft
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  - ihfft
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  - ihfftn
  - irfft
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  - irfftn
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  - rfftfreq
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- paddle.fluid
- paddle.geometric
- paddle.hub
  - help
  - list
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- paddle.incubate
- paddle.inference
- paddle.io
- paddle.jit
- paddle.linalg
  - cholesky
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  - cond
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  - cov
  - det
  - eig
  - eigh
  - eigvals
  - eigvalsh
  - inv
  - lstsq
  - lu
  - lu_unpack
  - matrix_power
  - matrix_rank
  - multi_dot
  - norm
  - pca_lowrank
    - html
  - pinv
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  - solve
  - svd
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- paddle.metric
  - Accuracy
  - accuracy
  - Auc
  - Metric
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- paddle.nn
- paddle.onnx
  - export
- paddle.optimizer
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  - Momentum
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- paddle.profiler
- paddle.quantization
  - BaseObserver
  - BaseQuanter
  - PTQ
  - QAT
  - QuantConfig
  - quanter
- paddle.regularizer
  - L1Decay
  - L2Decay
- paddle.signal
  - istft
  - stft
- paddle.sparse
  - abs
  - add
  - addmm
  - asin
  - asinh
  - atan
  - atanh
  - cast
  - coalesce
  - deg2rad
  - divide
  - expm1
  - is_same_shape
  - isnan
  - log1p
  - masked_matmul
  - matmul
  - multiply
  - mv
  - neg
  - nn
    - BatchNorm
    - Conv2D
    - Conv3D
    - functional
      - attention
      - conv2d
      - conv3d
      - leaky_relu
      - max_pool3d
      - relu
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      - softmax
      - subm_conv2d
      - subm_conv3d
    - LeakyReLU
    - MaxPool3D
    - ReLU
    - ReLU6
    - Softmax
    - SubmConv2D
    - SubmConv3D
    - SyncBatchNorm
  - pow
  - rad2deg
  - reshape
  - sin
  - sinh
  - slice
  - sparse_coo_tensor
  - sparse_csr_tensor
  - sqrt
  - square
  - subtract
  - sum
  - tan
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  - transpose
- paddle.static
- paddle.sysconfig
  - get_include
  - get_lib
- paddle.Tensor
  - Overview
  - add_
  - astype
  - backward
  - ceil_
  - clear_grad
  - clip_
  - cpu
  - create_tensor
  - cuda
  - dim
  - erfinv_
  - exp_
  - exponential_
  - fill_
  - fill_diagonal_
  - fill_diagonal_tensor
  - fill_diagonal_tensor_
  - flatten_
  - floor_
  - gradient
  - item
  - lerp_
  - multiply_
  - ndimension
  - pin_memory
  - put_along_axis_
  - reciprocal_
  - register_hook
  - remainder_
  - round_
  - rsqrt_
  - scale_
  - set_value
  - sigmoid
  - sigmoid_
  - sqrt_
  - subtract_
  - to_dense
  - to_sparse_coo
  - uniform_
  - value
  - values
  - zero_
- paddle.text
  - Conll05st
  - Imdb
  - Imikolov
  - Movielens
  - UCIHousing
  - viterbi_decode
  - ViterbiDecoder
  - WMT14
  - WMT16
- paddle.utils
  - cpp_extension
  - deprecated
  - dlpack
    - from_dlpack
    - to_dlpack
  - download
    - get_weights_path_from_url
  - require_version
  - run_check
  - try_import
  - unique_name
    - generate
    - guard
    - switch
- paddle.version
  - cuda
  - cudnn
  - show
  - xpu
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- paddle.vision
  - datasets
    - Cifar10
    - Cifar100
    - DatasetFolder
    - FashionMNIST
    - Flowers
    - ImageFolder
    - MNIST
    - VOC2012
  - get_image_backend
  - image_load
  - models
  - ops
    - box_coder
    - decode_jpeg
    - deform_conv2d
    - DeformConv2D
    - distribute_fpn_proposals
    - generate_proposals
    - matrix_nms
    - nms
    - prior_box
    - psroi_pool
    - PSRoIPool
    - read_file
    - roi_align
    - roi_pool
    - RoIAlign
    - RoIPool
    - yolo_box
    - yolo_loss
  - set_image_backend
  - transforms
    - adjust_brightness
    - adjust_contrast
    - adjust_hue
    - affine
    - BaseTransform
    - BrightnessTransform
    - center_crop
    - CenterCrop
    - ColorJitter
    - Compose
    - ContrastTransform
    - crop
    - erase
    - Grayscale
    - hflip
    - HueTransform
    - Normalize
    - normalize
    - Pad
    - pad
    - perspective
    - RandomAffine
    - RandomCrop
    - RandomErasing
    - RandomHorizontalFlip
    - RandomPerspective
    - RandomResizedCrop
    - RandomRotation
    - RandomVerticalFlip
    - Resize
    - resize
    - rotate
    - SaturationTransform
    - to_grayscale
    - to_tensor
    - ToTensor
    - Transpose
    - vflip
Contribution Guidelines
- Custom Device Support
2.5.0 Release Note

Neural Network Layer

»
Neural Network Layer
Edit on GitHub

Neural Network Layer¶

Convolution
Pooling
Image Detection
Sequence
Mathematical operation
Activation Function
Loss function
Data input and output
Control Flow
Sparse update
Feed training/inference data with DataFeeder
Learning rate scheduler
Tensor