TensorFlow DBN深度信念网络搭建2

tensorflow

一个面向所有人的开源机器学习框架

项目地址：https://gitcode.com/gh_mirrors/te/tensorflow

免费下载资源

rosefunR

5497人浏览 · 2018-01-05 15:43:04

rosefunR · 2018-01-05 15:43:04 发布

1、改进1：层数改变

通过修改rbm的层数，可以看到重构误差是变小了，但是，我发现只是修改rbm，并没有影响到最终的accuracy，而且更加诡异的是，这个accuracy，只从我修改了数据集以来，无论怎么修改，都是同一个数，0.391999，即使是同一个数据集，多次运行，结果也不可能一直不变的。

因此，针对数据不变，也许是我的突破点。

'rbm_layers', '52,80,52,3'

Training layer 1...
2018-01-05 14:25:33.455536: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1030] Found device 0 wit
h properties:
name: GeForce GT 720M major: 3 minor: 5 memoryClockRate(GHz): 0.758
pciBusID: 0000:01:00.0
totalMemory: 2.00GiB freeMemory: 1.93GiB
2018-01-05 14:25:33.456106: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Tensorboard logs dir for this run is C:\Users\RoFun\.yadlt\logs/run38
Reconstruction loss: 39.7324:  10%|█▎           | 1/10 [00:01<00:09,  1.07s/it
Reconstruction loss: 17.6186:  10%|█▎           | 1/10 [00:01<00:16,  1.80s/it
Reconstruction loss: 17.6186:  20%|██▌          | 2/10 [00:01<00:07,  1.11it/
Reconstruction loss: 17.5831:  20%|██▌          | 2/10 [00:02<00:09,  1.20s/i
Reconstruction loss: 17.5831:  30%|███▉         | 3/10 [00:02<00:05,  1.25it
Reconstruction loss: 17.5797:  30%|███▉         | 3/10 [00:03<00:07,  1.02s/
Reconstruction loss: 17.5797:  40%|█████▏       | 4/10 [00:03<00:04,  1.31
Reconstruction loss: 17.5798:  40%|█████▏       | 4/10 [00:03<00:05,  1.06
Reconstruction loss: 17.5798:  50%|██████▌      | 5/10 [00:03<00:03,  1.3
Reconstruction loss: 17.5818:  50%|██████▌      | 5/10 [00:04<00:04,  1.1
Reconstruction loss: 17.5818:  60%|███████▊     | 6/10 [00:04<00:02,  1.
Reconstruction loss: 17.5843:  60%|███████▊     | 6/10 [00:05<00:03,  1.
Reconstruction loss: 17.5843:  70%|█████████    | 7/10 [00:05<00:02,  1
Reconstruction loss: 17.585:  70%|█████████▊    | 7/10 [00:05<00:02,
Reconstruction loss: 17.585:  80%|███████████▏  | 8/10 [00:05<00:01,
Reconstruction loss: 17.5822:  80%|██████████▍  | 8/10 [00:06<00:01,
Reconstruction loss: 17.5822:  90%|███████████▋ | 9/10 [00:06<00:00,
Reconstruction loss: 17.581:  90%|████████████▌ | 9/10 [00:06<00:00
Reconstruction loss: 17.581: 100%|█████████████| 10/10 [00:06<00:00
,  1.44it/s]
2018-01-05 14:25:42.874094: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:25:43.029413: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:25:43.171274: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Training layer 2...
2018-01-05 14:25:43.590959: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Tensorboard logs dir for this run is C:\Users\RoFun\.yadlt\logs/run39
Reconstruction loss: 0.203016:  10%|█▏          | 1/10 [00:00<00:06,  1.48it/s
Reconstruction loss: 0.0966681:  10%|█          | 1/10 [00:01<00:11,  1.28s/it]
Reconstruction loss: 0.0966681:  20%|██▏        | 2/10 [00:01<00:05,  1.56it/
Reconstruction loss: 0.0584871:  20%|██▏        | 2/10 [00:01<00:07,  1.05it/
Reconstruction loss: 0.0584871:  30%|███▎       | 3/10 [00:01<00:04,  1.58it
Reconstruction loss: 0.0406971:  30%|███▎       | 3/10 [00:02<00:06,  1.10it
Reconstruction loss: 0.0406971:  40%|████▍      | 4/10 [00:02<00:04,  1.47i
Reconstruction loss: 0.030652:  40%|████▊       | 4/10 [00:03<00:05,  1.20i
Reconstruction loss: 0.030652:  50%|██████      | 5/10 [00:03<00:03,  1.50
Reconstruction loss: 0.0244582:  50%|█████▌     | 5/10 [00:03<00:03,  1.26
Reconstruction loss: 0.0244582:  60%|██████▌    | 6/10 [00:03<00:02,  1.5
Reconstruction loss: 0.0202696:  60%|██████▌    | 6/10 [00:04<00:03,  1.3
Reconstruction loss: 0.0202696:  70%|███████▋   | 7/10 [00:04<00:01,  1.
Reconstruction loss: 0.0172196:  70%|███████▋   | 7/10 [00:05<00:02,  1.
Reconstruction loss: 0.0172196:  80%|████████▊  | 8/10 [00:05<00:01,  1
Reconstruction loss: 0.0149137:  80%|████████▊  | 8/10 [00:05<00:01,  1
Reconstruction loss: 0.0149137:  90%|█████████▉ | 9/10 [00:05<00:00,
Reconstruction loss: 0.0131996:  90%|█████████▉ | 9/10 [00:06<00:00,
Reconstruction loss: 0.0131996: 100%|██████████| 10/10 [00:06<00:00,
1.52it/s]
2018-01-05 14:25:51.593593: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:25:51.740685: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:25:51.877104: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Training layer 3...
2018-01-05 14:25:52.294727: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Tensorboard logs dir for this run is C:\Users\RoFun\.yadlt\logs/run40
Reconstruction loss: 0.180896:  10%|█▏          | 1/10 [00:00<00:06,  1.45it/s
Reconstruction loss: 0.0777469:  10%|█          | 1/10 [00:01<00:11,  1.33s/it]
Reconstruction loss: 0.0777469:  20%|██▏        | 2/10 [00:01<00:05,  1.50it/
Reconstruction loss: 0.0398954:  20%|██▏        | 2/10 [00:01<00:07,  1.03it/
Reconstruction loss: 0.0398954:  30%|███▎       | 3/10 [00:01<00:04,  1.54it
Reconstruction loss: 0.0232394:  30%|███▎       | 3/10 [00:02<00:05,  1.18it
Reconstruction loss: 0.0232394:  40%|████▍      | 4/10 [00:02<00:03,  1.57i
Reconstruction loss: 0.0152276:  40%|████▍      | 4/10 [00:03<00:04,  1.27i
Reconstruction loss: 0.0152276:  50%|█████▌     | 5/10 [00:03<00:03,  1.59
Reconstruction loss: 0.0103914:  50%|█████▌     | 5/10 [00:03<00:03,  1.29
Reconstruction loss: 0.0103914:  60%|██████▌    | 6/10 [00:03<00:02,  1.5
Reconstruction loss: 0.00745202:  60%|██████    | 6/10 [00:04<00:03,  1.33
Reconstruction loss: 0.00745202:  70%|███████   | 7/10 [00:04<00:01,  1.5
Reconstruction loss: 0.00557388:  70%|███████   | 7/10 [00:05<00:02,  1.3
Reconstruction loss: 0.00557388:  80%|████████  | 8/10 [00:05<00:01,  1.
Reconstruction loss: 0.00433528:  80%|████████  | 8/10 [00:05<00:01,  1.
Reconstruction loss: 0.00433528:  90%|█████████ | 9/10 [00:05<00:00,  1
Reconstruction loss: 0.00336939:  90%|█████████ | 9/10 [00:06<00:00,  1
Reconstruction loss: 0.00336939: 100%|█████████| 10/10 [00:06<00:00,  1
.54it/s]
2018-01-05 14:26:00.234303: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:26:00.382128: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:26:00.521913: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Training layer 4...
2018-01-05 14:26:00.940003: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Tensorboard logs dir for this run is C:\Users\RoFun\.yadlt\logs/run41
Reconstruction loss: 0.376031:  10%|█▏          | 1/10 [00:00<00:07,  1.26it/s
Reconstruction loss: 0.3409:  10%|█▍            | 1/10 [00:01<00:12,  1.40s/it
Reconstruction loss: 0.3409:  20%|██▊           | 2/10 [00:01<00:05,  1.43it/
Reconstruction loss: 0.305654:  20%|██▍         | 2/10 [00:01<00:07,  1.00it/
Reconstruction loss: 0.305654:  30%|███▌        | 3/10 [00:01<00:04,  1.50it
Reconstruction loss: 0.276197:  30%|███▌        | 3/10 [00:02<00:06,  1.15it
Reconstruction loss: 0.276197:  40%|████▊       | 4/10 [00:02<00:03,  1.54i
Reconstruction loss: 0.251135:  40%|████▊       | 4/10 [00:03<00:04,  1.25i
Reconstruction loss: 0.251135:  50%|██████      | 5/10 [00:03<00:03,  1.56
Reconstruction loss: 0.229447:  50%|██████      | 5/10 [00:03<00:03,  1.31
Reconstruction loss: 0.229447:  60%|███████▏    | 6/10 [00:03<00:02,  1.
Reconstruction loss: 0.210518:  60%|███████▏    | 6/10 [00:04<00:02,  1.
Reconstruction loss: 0.210518:  70%|████████▍   | 7/10 [00:04<00:01,  1
Reconstruction loss: 0.19387:  70%|█████████    | 7/10 [00:05<00:02,  1
Reconstruction loss: 0.19387:  80%|██████████▍  | 8/10 [00:05<00:01,
Reconstruction loss: 0.17917:  80%|██████████▍  | 8/10 [00:05<00:01,
Reconstruction loss: 0.17917:  90%|███████████▋ | 9/10 [00:05<00:00,
Reconstruction loss: 0.166124:  90%|██████████▊ | 9/10 [00:06<00:00,
Reconstruction loss: 0.166124: 100%|███████████| 10/10 [00:06<00:00,
 1.59it/s]
2018-01-05 14:26:08.502946: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:26:08.647751: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
2018-01-05 14:26:08.783165: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Start deep belief net finetuning...


2018-01-05 14:26:10.667883: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Tensorboard logs dir for this run is C:\Users\RoFun\.yadlt\logs/run42
Accuracy: 0.438:  10%|██▌                       | 1/10 [00:01<00:11,  1.23s/i
Accuracy: 0.438:  10%|██▌                       | 1/10 [00:02<00:20,  2.29s/i
Accuracy: 0.438:  20%|█████▏                    | 2/10 [00:02<00:09,  1.15
Accuracy: 0.438:  20%|█████▏                    | 2/10 [00:03<00:14,  1.76
Accuracy: 0.438:  30%|███████▊                  | 3/10 [00:03<00:08,  1.
Accuracy: 0.438:  30%|███████▊                  | 3/10 [00:04<00:10,  1.
Accuracy: 0.438:  40%|██████████▍               | 4/10 [00:04<00:06,
Accuracy: 0.438:  40%|██████████▍               | 4/10 [00:05<00:08,
Accuracy: 0.438:  50%|█████████████             | 5/10 [00:05<00:05
Accuracy: 0.438:  50%|█████████████             | 5/10 [00:06<00:06
Accuracy: 0.438:  60%|███████████████▌          | 6/10 [00:06<00
Accuracy: 0.438:  60%|███████████████▌          | 6/10 [00:08<00
Accuracy: 0.438:  70%|██████████████████▏       | 7/10 [00:08
Accuracy: 0.438:  70%|██████████████████▏       | 7/10 [00:09
Accuracy: 0.438:  80%|████████████████████▊     | 8/10 [00:
Accuracy: 0.438:  80%|████████████████████▊     | 8/10 [00:
Accuracy: 0.438:  90%|███████████████████████▍  | 9/10 [
Accuracy: 0.438:  90%|███████████████████████▍  | 9/10 [
Accuracy: 0.438: 100%|█████████████████████████| 10/10
[00:11<00:00,  1.13s/it]
2018-01-05 14:26:26.744554: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu
\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlo
w device (/device:GPU:0) -> (device: 0, name: GeForce GT 720M, pci bus id: 0000:
01:00.0, compute capability: 3.5)
Test set accuracy: 0.3919999897480011

请按任意键继续. . .

2、查看GitHub时，看到被人是这样调用，虽然他的还是出错

import tensorflow as tf
from yadlt.models.boltzmann import dbn

from tensorflow.examples.tutorials.mnist import input_data

# load the data
mnist = input_data.read_data_sets("tensorflow_learning/MNIST_data/", one_hot = True)
x_train = mnist.train.images
y_train = mnist.train.labels
x_val = mnist.validation.images
y_val = mnist.validation.labels

# create a DBN
my_DBN = dbn.DeepBeliefNetwork(rbm_layers = [50, 30, 20],
                               finetune_loss_func = 'softmax_cross_entropy',
                               finetune_dropout = 1,
                               finetune_learning_rate = 0.001,
                               finetune_act_func = tf.nn.sigmoid,
                               finetune_num_epochs = 20,
                               finetune_batch_size = 20,
                               do_pretrain = True)

my_DBN.pretrain(x_train, x_val)

my_DBN.build_model(784, 10)

my_DBN._train_model(x_train, y_train, x_val, y_val)

GitHub 加速计划 / te / tensorflow

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a49e66f2 PiperOrigin-RevId: 663726708 2 个月前

91dac11a This test overrides disabled_backends, dropping the default value in the process. PiperOrigin-RevId: 663711155 2 个月前

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