TensorLayer
1.3.1
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API - Layers
API - Cost
API - Preprocessing
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API - Reinforcement Learning
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API - Visualize Model and Data
API - Operation System
API - Activations
TensorLayer
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Index
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B
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C
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D
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E
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F
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G
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I
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L
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M
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N
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P
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R
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T
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U
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V
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W
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Z
A
advanced_indexing_op() (in module tensorlayer.layers)
apply_transform() (in module tensorlayer.prepro)
array_to_img() (in module tensorlayer.prepro)
assign_params() (in module tensorlayer.files)
AtrousConv2dLayer (class in tensorlayer.layers)
B
basic_tokenizer() (in module tensorlayer.nlp)
BatchNormLayer (class in tensorlayer.layers)
BiDynamicRNNLayer (class in tensorlayer.layers)
binary_cross_entropy() (in module tensorlayer.cost)
BiRNNLayer (class in tensorlayer.layers)
brightness() (in module tensorlayer.prepro)
brightness_multi() (in module tensorlayer.prepro)
build_reverse_dictionary() (in module tensorlayer.nlp)
build_vocab() (in module tensorlayer.nlp)
build_words_dataset() (in module tensorlayer.nlp)
C
channel_shift() (in module tensorlayer.prepro)
channel_shift_multi() (in module tensorlayer.prepro)
class_balancing_oversample() (in module tensorlayer.utils)
clear_all() (in module tensorlayer.ops)
clear_layers_name() (in module tensorlayer.layers)
CNN2d() (in module tensorlayer.visualize)
ConcatLayer (class in tensorlayer.layers)
Conv1dLayer (class in tensorlayer.layers)
Conv2d() (in module tensorlayer.layers)
Conv2dLayer (class in tensorlayer.layers)
Conv3dLayer (class in tensorlayer.layers)
cosine_similarity() (in module tensorlayer.cost)
create_vocab() (in module tensorlayer.nlp)
create_vocabulary() (in module tensorlayer.nlp)
crop() (in module tensorlayer.prepro)
crop_central_whiten_images() (in module tensorlayer.prepro)
crop_multi() (in module tensorlayer.prepro)
cross_entropy() (in module tensorlayer.cost)
cross_entropy_reward_loss() (in module tensorlayer.rein)
cross_entropy_seq() (in module tensorlayer.cost)
cross_entropy_seq_with_mask() (in module tensorlayer.cost)
D
data_to_token_ids() (in module tensorlayer.nlp)
DeConv2d() (in module tensorlayer.layers)
DeConv2dLayer (class in tensorlayer.layers)
DeConv3dLayer (class in tensorlayer.layers)
DenseLayer (class in tensorlayer.layers)
dice_coe() (in module tensorlayer.cost)
dice_hard_coe() (in module tensorlayer.cost)
dict_to_one() (in module tensorlayer.utils)
disable_print() (in module tensorlayer.ops)
discount_episode_rewards() (in module tensorlayer.rein)
distorted_images() (in module tensorlayer.prepro)
DropconnectDenseLayer (class in tensorlayer.layers)
DropoutLayer (class in tensorlayer.layers)
DynamicRNNLayer (class in tensorlayer.layers)
E
elastic_transform() (in module tensorlayer.prepro)
elastic_transform_multi() (in module tensorlayer.prepro)
ElementwiseLayer (class in tensorlayer.layers)
EmbeddingAttentionSeq2seqWrapper (class in tensorlayer.layers)
EmbeddingInputlayer (class in tensorlayer.layers)
empty_trash() (in module tensorlayer.ops)
enable_print() (in module tensorlayer.ops)
evaluation() (in module tensorlayer.utils)
exists_or_mkdir() (in module tensorlayer.files)
exit_tf() (in module tensorlayer.ops)
F
featurewise_norm() (in module tensorlayer.prepro)
fit() (in module tensorlayer.utils)
flatten_list() (in module tensorlayer.utils)
flatten_reshape() (in module tensorlayer.layers)
FlattenLayer (class in tensorlayer.layers)
flip_axis() (in module tensorlayer.prepro)
flip_axis_multi() (in module tensorlayer.prepro)
frame() (in module tensorlayer.visualize)
G
GaussianNoiseLayer (class in tensorlayer.layers)
generate_skip_gram_batch() (in module tensorlayer.nlp)
get_batch() (tensorlayer.layers.EmbeddingAttentionSeq2seqWrapper method)
get_site_packages_directory() (in module tensorlayer.ops)
get_variables_with_name() (in module tensorlayer.layers)
I
identity() (in module tensorlayer.activation)
images2d() (in module tensorlayer.visualize)
imresize() (in module tensorlayer.prepro)
initialize_global_variables() (in module tensorlayer.layers)
initialize_rnn_state() (in module tensorlayer.layers)
initialize_vocabulary() (in module tensorlayer.nlp)
InputLayer (class in tensorlayer.layers)
iou_coe() (in module tensorlayer.cost)
L
LambdaLayer (class in tensorlayer.layers)
Layer (class in tensorlayer.layers)
leaky_relu() (in module tensorlayer.activation)
li_regularizer() (in module tensorlayer.cost)
list_remove_repeat() (in module tensorlayer.layers)
lo_regularizer() (in module tensorlayer.cost)
load_cifar10_dataset() (in module tensorlayer.files)
load_file_list() (in module tensorlayer.files)
load_folder_list() (in module tensorlayer.files)
load_imbd_dataset() (in module tensorlayer.files)
load_matt_mahoney_text8_dataset() (in module tensorlayer.files)
load_mnist_dataset() (in module tensorlayer.files)
load_nietzsche_dataset() (in module tensorlayer.files)
load_npy_to_any() (in module tensorlayer.files)
load_npz() (in module tensorlayer.files)
load_ptb_dataset() (in module tensorlayer.files)
load_wmt_en_fr_dataset() (in module tensorlayer.files)
LocalResponseNormLayer (class in tensorlayer.layers)
M
maxnorm_i_regularizer() (in module tensorlayer.cost)
maxnorm_o_regularizer() (in module tensorlayer.cost)
maxnorm_regularizer() (in module tensorlayer.cost)
MaxPool2d() (in module tensorlayer.layers)
mean_squared_error() (in module tensorlayer.cost)
MeanPool2d() (in module tensorlayer.layers)
minibatches() (in module tensorlayer.iterate)
MultiplexerLayer (class in tensorlayer.layers)
N
npz_to_W_pdf() (in module tensorlayer.files)
P
pad_sequences() (in module tensorlayer.prepro)
pixel_wise_softmax() (in module tensorlayer.activation)
PoolLayer (class in tensorlayer.layers)
predict() (in module tensorlayer.utils)
PReluLayer (class in tensorlayer.layers)
print_all_variables() (in module tensorlayer.layers)
process_sentence() (in module tensorlayer.nlp)
projective_transform_by_points() (in module tensorlayer.prepro)
ptb_iterator() (in module tensorlayer.iterate)
R
ramp() (in module tensorlayer.activation)
read_analogies_file() (in module tensorlayer.nlp)
read_words() (in module tensorlayer.nlp)
ReconLayer (class in tensorlayer.layers)
ReshapeLayer (class in tensorlayer.layers)
retrieve_seq_length_op() (in module tensorlayer.layers)
retrieve_seq_length_op2() (in module tensorlayer.layers)
RNNLayer (class in tensorlayer.layers)
rotation() (in module tensorlayer.prepro)
rotation_multi() (in module tensorlayer.prepro)
S
sample() (in module tensorlayer.nlp)
sample_top() (in module tensorlayer.nlp)
samplewise_norm() (in module tensorlayer.prepro)
save_any_to_npy() (in module tensorlayer.files)
save_npz() (in module tensorlayer.files)
save_vocab() (in module tensorlayer.nlp)
sentence_to_token_ids() (in module tensorlayer.nlp)
seq_minibatches() (in module tensorlayer.iterate)
seq_minibatches2() (in module tensorlayer.iterate)
set_gpu_fraction() (in module tensorlayer.ops)
set_name_reuse() (in module tensorlayer.layers)
shear() (in module tensorlayer.prepro)
shear_multi() (in module tensorlayer.prepro)
shift() (in module tensorlayer.prepro)
shift_multi() (in module tensorlayer.prepro)
simple_read_words() (in module tensorlayer.nlp)
SimpleVocabulary (class in tensorlayer.nlp)
SlimNetsLayer (class in tensorlayer.layers)
step() (tensorlayer.layers.EmbeddingAttentionSeq2seqWrapper method)
suppress_stdout() (in module tensorlayer.ops)
swirl() (in module tensorlayer.prepro)
swirl_multi() (in module tensorlayer.prepro)
T
tensorlayer.activation (module)
tensorlayer.cost (module)
tensorlayer.files (module)
tensorlayer.iterate (module)
tensorlayer.layers (module)
tensorlayer.nlp (module)
tensorlayer.ops (module)
tensorlayer.prepro (module)
tensorlayer.rein (module)
tensorlayer.utils (module)
tensorlayer.visualize (module)
test() (in module tensorlayer.utils)
threading_data() (in module tensorlayer.prepro)
transform_matrix_offset_center() (in module tensorlayer.prepro)
tsne_embedding() (in module tensorlayer.visualize)
U
UpSampling2dLayer (class in tensorlayer.layers)
V
Vocabulary (class in tensorlayer.nlp)
W
W() (in module tensorlayer.visualize)
Word2vecEmbeddingInputlayer (class in tensorlayer.layers)
word_ids_to_words() (in module tensorlayer.nlp)
words_to_word_ids() (in module tensorlayer.nlp)
Z
zoom() (in module tensorlayer.prepro)
zoom_multi() (in module tensorlayer.prepro)
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