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1
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow \(Machine Learning in Python\) - PDFDrive.com
Autopublished
LazyProgrammer
np.float32
neural
batch_sz
np.zeros
convolution
dtype
theano
networks
import
output
xrange
filter
tensorflow
input
w2_shape
network
shape
function
python
t.grad
convolutional
feature
flatten
gradient
theano.shared
convpool
dimension
conv_out
signal
np.random.randn
poolsz
w1_shape
filters
plt.show
regression
ytrain
descent
xtrain
np.sqrt
num_feature_maps
rearrange
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
operation
년:
2016
언어:
english
파일:
PDF, 521 KB
개인 태그:
0
/
4.5
english, 2016
2
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
LazyProgrammer
np.float32
neural
batch_sz
np.zeros
convolution
dtype
theano
networks
import
output
tensorflow
xrange
filter
input
network
shape
w2_shape
function
python
t.grad
convolutional
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
operation
년:
2016
언어:
english
파일:
EPUB, 180 KB
개인 태그:
0
/
0
english, 2016
3
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
The LazyProgrammer
np.float32
neural
batch_sz
np.zeros
convolution
dtype
theano
import
networks
output
xrange
filter
tensorflow
input
network
shape
w2_shape
function
python
t.grad
convolutional
feature
flatten
theano.shared
convpool
dimension
gradient
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
operation
언어:
english
파일:
PDF, 512 KB
개인 태그:
0
/
0
english
4
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
Unknown
np.float32
neural
batch_sz
np.zeros
convolution
dtype
theano
networks
import
output
tensorflow
xrange
filter
input
network
shape
w2_shape
function
python
t.grad
convolutional
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
operation
언어:
english
파일:
LIT , 228 KB
개인 태그:
0
/
0
english
5
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
Unknown
np.float32
neural
batch_sz
convolution
np.zeros
theano
dtype
networks
import
tensorflow
output
xrange
filter
network
input
shape
w2_shape
function
python
convolutional
t.grad
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
sample
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
언어:
english
파일:
MOBI , 268 KB
개인 태그:
0
/
0
english
6
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
Unknown
np.float32
neural
batch_sz
convolution
np.zeros
theano
dtype
networks
import
tensorflow
output
xrange
filter
network
input
shape
w2_shape
function
python
convolutional
t.grad
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
sample
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
언어:
english
파일:
AZW3 , 260 KB
개인 태그:
0
/
0
english
7
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
Unknown
np.float32
neural
batch_sz
np.zeros
convolution
dtype
theano
networks
import
output
tensorflow
xrange
filter
input
network
shape
w2_shape
function
python
t.grad
convolutional
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
operation
언어:
english
파일:
FB2 , 310 KB
개인 태그:
0
/
0
english
8
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
The LazyProgrammer
The LazyProgrammer
np.float32
neural
batch_sz
np.zeros
convolution
dtype
theano
networks
import
output
tensorflow
xrange
filter
input
network
shape
w2_shape
function
python
t.grad
convolutional
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
operation
언어:
english
파일:
EPUB, 1.21 MB
개인 태그:
0
/
0
english
9
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
Unknown
np.float32
neural
batch_sz
convolution
np.zeros
theano
dtype
networks
import
tensorflow
output
xrange
filter
network
input
shape
w2_shape
function
python
convolutional
t.grad
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
sample
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
년:
2019
언어:
english
파일:
MOBI , 268 KB
개인 태그:
0
/
5.0
english, 2019
10
Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)
LazyProgrammer.me
LazyProgrammer
np.float32
neural
batch_sz
np.zeros
convolution
dtype
theano
networks
import
output
tensorflow
xrange
filter
input
network
shape
w2_shape
function
python
t.grad
convolutional
feature
flatten
gradient
theano.shared
convpool
dimension
signal
conv_out
np.random.randn
poolsz
w1_shape
filters
regression
ytrain
descent
plt.show
xtrain
np.sqrt
num_feature_maps
rearrange
step
check
filter_height
filter_width
init_filter
kernels
layer
np.prod
operation
년:
2016
언어:
english
파일:
EPUB, 1.21 MB
개인 태그:
5.0
/
2.0
english, 2016
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