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1
Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python
Independently Published
Jason Brownlee
dataset
input
import
forecasting
step
models
listing
output
array
lstm
forecast
cnn
univariate
scores
function
model.add
samples
range
define
split
multivariate
n_test
methods
activity
cfg
config
grid
error
n_input
develop
observations
neural
numpy
dense
features
n_steps
sequences
yhat
prediction
activation
evaluate
values
rmse
in_seq1
sample
relu
n_features
network
verbose
predictions
年:
2019
語言:
english
文件:
PDF, 8.27 MB
你的標籤:
0
/
0
english, 2019
2
Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python
Machine Learning Mastery
Jason Brownlee
dataset
input
import
forecasting
step
models
listing
output
array
lstm
forecast
cnn
univariate
scores
function
model.add
samples
range
define
split
multivariate
n_test
methods
activity
cfg
config
grid
error
n_input
develop
observations
neural
numpy
dense
features
n_steps
sequences
yhat
prediction
activation
evaluate
values
rmse
in_seq1
sample
relu
n_features
network
verbose
predictions
年:
2018
語言:
english
文件:
PDF, 8.14 MB
你的標籤:
5.0
/
5.0
english, 2018
3
Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python
Machine Learning Mastery
Jason Brownlee
dataset
input
import
forecasting
step
models
listing
output
array
lstm
forecast
cnn
univariate
scores
function
model.add
samples
range
define
split
multivariate
n_test
methods
activity
cfg
config
grid
error
n_input
develop
observations
neural
numpy
dense
features
n_steps
sequences
yhat
prediction
activation
evaluate
values
rmse
in_seq1
sample
relu
n_features
network
verbose
predictions
年:
2019
語言:
english
文件:
PDF, 8.27 MB
你的標籤:
5.0
/
5.0
english, 2019
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