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1
R Deep Learning Projects: Master the techniques to design and develop neural network models in R
Yuxi (Hayden) Liu
,
Pablo Maldonado
neural
networks
function
accuracy
layer
library
matrix
convolutional
network
detection
fraud
recurrent
analysis
step
autoencoders
epoch
traffic
digit
vector
acc
autoencoder
sign
dataset
input
output
val_acc
val_loss
layers
error
features
generation
handwritten
classification
embeddings
preds
4ms
vehicles
x_test
models
nrow
intelligent
iter
x_train
cnns
feature
validation
relu
predict
sample
mnist
年:
2018
语言:
english
文件:
PDF, 7.17 MB
您的标签:
0
/
0
english, 2018
2
R Deep Learning Projects
Packt
Yuxi (Hayden) Liu
,
Pablo Maldonado
neural
networks
function
accuracy
layer
library
matrix
convolutional
network
detection
fraud
recurrent
step
analysis
autoencoders
epoch
traffic
digit
acc
vector
autoencoder
dataset
input
sign
output
val_acc
val_loss
layers
error
features
generation
handwritten
classification
embeddings
preds
4ms
vehicles
x_test
nrow
intelligent
iter
x_train
cnns
feature
models
validation
relu
sample
mnist
inputs
年:
2018
语言:
english
文件:
PDF, 7.16 MB
您的标签:
0
/
0
english, 2018
3
R DEEP LEARNING PROJECTS : master the techniques to train and deploy neural networks in r
PACKT PUBLISHING LIMITED
LIU
,
YUXI (HAYDEN). MALDONADO PABLO
neural
networks
function
accuracy
layer
library
matrix
convolutional
network
detection
fraud
recurrent
analysis
step
autoencoders
epoch
traffic
digit
vector
acc
autoencoder
sign
dataset
input
output
val_acc
val_loss
layers
error
features
generation
handwritten
classification
embeddings
preds
4ms
vehicles
x_test
models
nrow
intelligent
iter
x_train
cnns
feature
validation
relu
predict
sample
mnist
年:
2018
语言:
english
文件:
PDF, 7.17 MB
您的标签:
0
/
0
english, 2018
4
R Deep Learning Projects
Packt Publishing
Yuxi (Hayden) Liu
,
Pablo Maldonado
function
accuracy
layer
neural
networks
library
matrix
network
step
epoch
acc
autoencoder
dataset
vector
input
layers
output
val_loss
error
features
preds
classification
4ms
convolutional
x_test
models
nrow
iter
x_train
fraud
detection
recurrent
validation
analysis
mnist
relu
predict
sample
cnns
feature
autoencoders
inputs
n_iter
text_df
activation
y_test
chars
learning_rate
samples
softmax
年:
2018
语言:
english
文件:
PDF, 10.47 MB
您的标签:
0
/
0
english, 2018
5
MXNet神经网络与量化投资
电子工业出版社
TOP极宽量化开源组
网
络
码
函
mxnet
测
预
投
练
训
库
绘
epoch
析
python
import
gpu
plotly
符
融
矩
kernel_size
ndarray
征
录
stride
操
介
票
fggpu
df_tst
绍
padding
宽
false
conv2d
循
趋
batch_size
pandas
densenet
xsgnlst
串
盘
acc
略
x_train
默
优
软
年:
2018
语言:
chinese
文件:
PDF, 4.21 MB
您的标签:
0
/
0
chinese, 2018
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