文档介绍：Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR1
PARAMS
=
_BATCH_SIZE 128
_EPOCH = 60
_SAVE_PATH = "./tensorboard/cifar-10-/"
LOSS AND OPTIMIZER
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
loss = ((logits=output, optimizer = (learning_rate=learning_rate, beta1=,
labels=y))
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
beta2=,
epsilon=1e-08).minimize(loss, global_step=global_step)
PREDICTION AND ACCURACYCALCULATION
correct_prediction = (y_pred_cls, (y, axis=1))
accuracy = ((correct_prediction, ))
# SAVER
merged = ()
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
saver = ()
sess = ()
train_writer = (_SAVE_PATH, )
try:
print("\nTrying to restore last checkpoint ...")
last_chk_path = (checkpoint_dir=_SAVE_PATH)
(sess, save_path=last_chk_path)
print("Restored checkpoint from:", last_chk_path)
except ValueError:
print("\nFailed to restore checkpoint. Initializing variables instead.")
(())
def train(epoch):
global epoch_start
epoch_start
=
time()
batch_size
=
int((len(train_x)
/ _BATCH_SIZE))
0
i_global
=
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
Python高级项目在Python中使用TensorFlow实现CIFAR10
for s in
batch_xs =
batch_ys =