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1
TensorFlow Zero To All
iBooker it-ebooks
it-ebooks
epoch
sess.run
dtype
tf.float32
feed_dict
shape
lab
accuracy
0.00000000e
import
tf.variable
prediction
x_data
tf.random_normal
learning_rate
mnist
tf.placeholder
float32
step
batch_size
y_data
keep_prob
tensorflow
tf.reduce_mean
tf.matmul
tensor
tf.argmax
sess
acc
range
optimizer
array
tf.global_variables_initializer
outputs
tf.nn.relu
weights
reproducibility
tf.set_random_seed
total_batch
batchnorm
tf.session
avg_cost
layer
mnist.test.images
graph
logits
minimize
padding
tf.cast
input
Godina:
2018
Jezik:
english
Fajl:
EPUB, 1.43 MB
Vaši tagovi:
0
/
0
english, 2018
2
Deep Learning with TensorFlow: Explore neural networks with Python. Code
Packt Publishing
Giancarlo Zaccone
,
Md. Rezaul Karim
,
Ahmed Menshawy
import
sess.run
tf.variable
batch_size
tensorflow
epoch
tf.placeholder
device
tf.float32
deeplearningwithtensorflow_code
accuracy
python
feed_dict
sess
tf.matmul
weights
biases
core
tf.session
workspace
unknown
labels
range
tf.random_normal
henry
c.a
framework
numpy
float
learning_rate
train_images
train_labels
cross_entropy
n_input
opkernel
step
batch_x
op_kernel.cc
tf.argmax
tf.global_variables_initializer
optimizer
stddev
tf.nn.relu
tf.reduce_mean
george
mnist
batch_y
device_type
image_size
tf.constant
Godina:
2017
Jezik:
english
Fajl:
ZIP, 685 KB
Vaši tagovi:
0
/
0
english, 2017
3
TensorFlow Tutorials (nlintz)
iBooker it-ebooks
it-ebooks
shape
import
trx
float
tf.placeholder
range
p_keep_hidden
init_weights
sess.run
batch_size
feed_dict
tf.variable
tex
variables
w_o
py_x
tf.matmul
train_op
p_keep_input
tensorflow
w_h
labels
network
start:end
minimize
predict_op
sess
w_h2
mnist_data
test_indices
tf.nn.dropout
lstm_size
session
tf.nn.relu
tf.session
cats
graph
input
numpy
tf.global_variables_initializer
tf.reduce_mean
initialize
mnist
neural
zip
count
input_data
input_data.read_data_sets
launch
mnist.train.images
Godina:
2018
Jezik:
english
Fajl:
EPUB, 382 KB
Vaši tagovi:
0
/
0
english, 2018
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