renn
latest
Overview
What is RENN?
What can I use this for?
Tutorials
Quickstart
Developer documentation
Tests and code format
Building the docs
How to contribute
API documentation
renn package
Changelog
v0.1.0
renn
Docs
»
Index
Edit on GitHub
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
J
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
Y
A
adagrad() (in module renn.metaopt.common)
adam() (in module renn.metaopt.common)
ag_news() (in module renn.data.datasets)
aggmo() (in module renn.metaopt.models)
amazon() (in module renn.data.datasets)
append_to_sequence() (in module renn.metaopt.models)
apply() (renn.rnn.cells.GRU method)
(renn.rnn.cells.LSTM method)
(renn.rnn.cells.LinearRNN method)
(renn.rnn.cells.RNNCell method)
(renn.rnn.cells.StackedCell method)
(renn.rnn.cells.UGRNN method)
(renn.rnn.cells.VanillaRNN method)
B
batch_mean() (in module renn.utils)
binary_xent() (in module renn.losses)
build_fixed_point_loss() (in module renn.rnn.fixed_points)
build_metaobj() (in module renn.metaopt.api)
build_rnn() (in module renn.rnn.network)
build_vocab() (in module renn.data.tokenizers)
C
clip() (in module renn.metaopt.api)
column_parser() (in module renn.data.data_utils)
compose() (in module renn.utils)
cwrnn() (in module renn.metaopt.common)
(in module renn.metaopt.models)
D
dbpedia() (in module renn.data.datasets)
dump() (in module renn.serialize)
dumps() (in module renn.serialize)
E
eigsorted() (in module renn.rnn.network)
embedding() (in module renn.rnn.cells)
ensure_all_tokens_exist() (in module renn.data.wordpiece_tokenizer_learner_lib)
evaluate() (in module renn.metaopt.api)
exclude_outliers() (in module renn.rnn.fixed_points)
extract_char_tokens() (in module renn.data.wordpiece_tokenizer_learner_lib)
F
filter_input_words() (in module renn.data.wordpiece_tokenizer_learner_lib)
final() (in module renn.metaopt.losses)
find_fixed_points() (in module renn.rnn.fixed_points)
flatten() (renn.rnn.cells.LinearRNN method)
fst() (in module renn.utils)
G
generate_final_vocabulary() (in module renn.data.wordpiece_tokenizer_learner_lib)
get_allowed_chars() (in module renn.data.wordpiece_tokenizer_learner_lib)
get_initial_state() (renn.rnn.cells.RNNCell method)
get_input_words() (in module renn.data.wordpiece_tokenizer_learner_lib)
get_search_threshs() (in module renn.data.wordpiece_tokenizer_learner_lib)
get_split_indices() (in module renn.data.wordpiece_tokenizer_learner_lib)
goemotions() (in module renn.data.datasets)
gradgram() (in module renn.metaopt.models)
GRU (class in renn.rnn.cells)
I
identity() (in module renn.utils)
imdb() (in module renn.data.datasets)
include_joiner_token (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
init() (renn.rnn.cells.GRU method)
(renn.rnn.cells.LSTM method)
(renn.rnn.cells.RNNCell method)
(renn.rnn.cells.StackedCell method)
(renn.rnn.cells.UGRNN method)
(renn.rnn.cells.VanillaRNN method)
init_initial_state() (renn.rnn.cells.RNNCell method)
J
joiner (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
L
label_batch() (renn.data.synthetic.Unordered method)
lds() (in module renn.metaopt.models)
learn() (in module renn.data.wordpiece_tokenizer_learner_lib)
learn_binary_search() (in module renn.data.wordpiece_tokenizer_learner_lib)
learn_with_thresh() (in module renn.data.wordpiece_tokenizer_learner_lib)
linear() (in module renn.metaopt.models)
linear_dx() (in module renn.metaopt.models)
LinearRNN (class in renn.rnn.cells)
load() (in module renn.serialize)
load_tokenizer() (in module renn.data.tokenizers)
loads() (in module renn.serialize)
logistic_regression() (in module renn.metaopt.tasks)
loguniform() (in module renn.metaopt.task_lib.quadratic)
lower_thresh (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
LSTM (class in renn.rnn.cells)
M
max_input_tokens (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
max_token_length (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
max_unique_chars (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
mean() (in module renn.metaopt.losses)
mnist() (in module renn.data.datasets)
momentum() (in module renn.metaopt.common)
(in module renn.metaopt.models)
mse() (in module renn.rnn.network)
multiclass_xent() (in module renn.losses)
N
nanmin() (in module renn.metaopt.losses)
nesterov() (in module renn.metaopt.common)
norm() (in module renn.utils)
num_iterations (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
O
one_hot() (in module renn.utils)
optimize() (in module renn.utils)
outer_loop() (in module renn.metaopt.api)
P
Params (class in renn.data.wordpiece_tokenizer_learner_lib)
pseudogrid() (in module renn.analysis_utils)
Q
quad() (in module renn.metaopt.tasks)
quadform() (in module renn.metaopt.task_lib.quadratic)
R
readfile() (in module renn.data.data_utils)
renn (module)
renn.analysis_utils (module)
renn.data (module)
renn.data.data_utils (module)
renn.data.datasets (module)
renn.data.synthetic (module)
renn.data.tokenizers (module)
renn.data.wordpiece_tokenizer_learner_lib (module)
renn.losses (module)
renn.metaopt (module)
renn.metaopt.api (module)
renn.metaopt.common (module)
renn.metaopt.losses (module)
renn.metaopt.models (module)
renn.metaopt.task_lib (module)
renn.metaopt.task_lib.quadratic (module)
renn.metaopt.tasks (module)
renn.rnn (module)
renn.rnn.cells (module)
renn.rnn.fixed_points (module)
renn.rnn.network (module)
renn.rnn.unroll (module)
renn.serialize (module)
renn.utils (module)
renn.version (module)
reserved_tokens (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
rmsprop() (in module renn.metaopt.common)
RNNCell (class in renn.rnn.cells)
S
score() (renn.data.synthetic.Unordered method)
sentiment_relabel() (in module renn.data.data_utils)
slack_ratio (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
snd() (in module renn.utils)
snli() (in module renn.data.datasets)
softmax_regression() (in module renn.metaopt.tasks)
StackedCell (class in renn.rnn.cells)
T
timescale() (in module renn.rnn.network)
tokenize_fun() (in module renn.data.datasets)
two_moons() (in module renn.metaopt.tasks)
U
UGRNN (class in renn.rnn.cells)
Unordered (class in renn.data.synthetic)
unroll_for() (in module renn.metaopt.api)
unroll_rnn() (in module renn.rnn.unroll)
unroll_scan() (in module renn.metaopt.api)
upper_thresh (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
V
VanillaRNN (class in renn.rnn.cells)
vocab_size (renn.data.wordpiece_tokenizer_learner_lib.Params attribute)
Y
yelp() (in module renn.data.datasets)
Read the Docs
v: latest
Versions
latest
stable
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.