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1
PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily. Code
Packt Publishing
Sherin Thomas
,
Sudhanshu Passi
import
__init__
9781788834131_code
torch
input_size
input
inputs
batch_size
batch
epoch
false
float
nn.linear
range
tensor
hidden_size
bias
device
pytorch
dataset
nn.module
encoder
fizbuznet
pytorchinproduction
cuda
dtype
output_size
stride
numpy
output
audio
prediction
elif
tensors
epochs
path
sample
in_features
kernal
time.time
nn.conv2d
nn.sequential
data_shape
indices
nn.relu
shuffle
torch.rand
config
dataloader
loss_name
Year:
2019
Language:
english
File:
ZIP, 139 KB
Your tags:
0
/
0
english, 2019
2
PYTORCH深度学习实战=PYTORCH DEEP LEARNING HANDS-ON
(美)谢林·托马斯
pytorch
python
tensor
torch
numpy
rea
torch.rand
gpu
input_size
rra
tensorflow
rnn
cnn
hidden_size
grad_fn
epoch
arr
bes
dtype
hyp
output_size
requires_grad
rhe
bie
bse
fizz
fpr
github
rah
sgd
stack
unsqueeze
agh
aik
bbe
buzz
dimension
fizbuznet
passi
refs
rma
shape
sherin
sudhanshu
arb
autograd
bef
chainer
ffe
function
Year:
2020
Language:
chinese
File:
PDF, 43.20 MB
Your tags:
0
/
0
chinese, 2020
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