百度飞桨 PaddlePaddle 1.7 深度学习平台教程
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tanh
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2020-05-02 02:20:25
tanh
返回: 张量(Tensor)
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fluid.executor
scope_guard
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set_gradient_clip
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fluid.io
save_inference_model
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chain
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cache
batch
save
load
set_program_state
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load_inference_model
DataLoader
load_vars
shuffle
save_params
ComposeNotAligned
PyReader
load_persistables
save_vars
multiprocess_reader
compose
xmap_readers
load_params
map_readers
firstn
fluid.dygraph
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GroupNorm
FC
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GRUUnit
Layer
Pool2D
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Sequential
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save_dygraph
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no_grad
prepare_context
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TreeConv
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to_variable
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guard
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embedding
Tensor
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gradients
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save
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load
in_dygraph_mode
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require_version
default_startup_program
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cuda_pinned_places
DistributeTranspiler
default_main_program
create_random_int_lodtensor
fluid.nets
simple_img_conv_pool
sequence_conv_pool
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affine_channel
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matmul
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hsigmoid
unique
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sum
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rank_loss
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im2sequence
row_conv
elementwise_min
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dice_loss
temporal_shift
relu6
shuffle
cos
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continuous_value_model
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reduce_any
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inverse_time_decay
yolov3_loss
tensor_array_to_tensor
logical_xor
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py_func
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dynamic_decode
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eye
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exp
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fc
sequence_enumerate
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smooth_l1
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npair_loss
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tanh
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sequence_scatter
ssd_loss
array_write
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filter_by_instag
warpctc
mul
anchor_generator
scale
hard_sigmoid
sign
transpose
mean
pow
multiplex
elementwise_div
hash
huber_loss
zeros
argsort
create_global_var
rank
elu
sequence_reverse
elementwise_mul
crop
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sampled_softmax_with_cross_entropy
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range
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thresholded_relu
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read_file
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slice
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reciprocal
topk
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has_nan
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roi_pool
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sequence_mask
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sampling_id
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sigmoid
data
gaussian_random
scatter_nd_add
autoincreased_step_counter
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ceil
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has_inf
merge_selected_rows
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case
softsign
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fluid.dataset
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