bnorm_3

/home/heimdall/anaconda3/bin/python /mnt/attic/DADA/codes/cnn/Bnorm.py
/home/heimdall/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Using TensorFlow backend.
/home/heimdall/anaconda3/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
  return f(*args, **kwds)
channels_last
2018-04-26 11:02:40.173029: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
conv2d_1 (Conv2D)            (None, 62, 62, 32)        896       
_________________________________________________________________
batch_normalization_1 (Batch (None, 62, 62, 32)        128       
_________________________________________________________________
dropout_1 (Dropout)          (None, 62, 62, 32)        0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 60, 60, 64)        18496     
_________________________________________________________________
batch_normalization_2 (Batch (None, 60, 60, 64)        256       
_________________________________________________________________
dropout_2 (Dropout)          (None, 60, 60, 64)        0         
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 58, 58, 64)        36928     
_________________________________________________________________
batch_normalization_3 (Batch (None, 58, 58, 64)        256       
_________________________________________________________________
dropout_3 (Dropout)          (None, 58, 58, 64)        0         
_________________________________________________________________
flatten_1 (Flatten)          (None, 215296)            0         
_________________________________________________________________
dense_1 (Dense)              (None, 1024)              220464128 
_________________________________________________________________
batch_normalization_4 (Batch (None, 1024)              4096      
_________________________________________________________________
dropout_4 (Dropout)          (None, 1024)              0         
_________________________________________________________________
dense_2 (Dense)              (None, 2)                 2050      
=================================================================
Total params: 220,527,234
Trainable params: 220,524,866
Non-trainable params: 2,368
_________________________________________________________________
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
conv2d_1 (Conv2D)            (None, 62, 62, 32)        896       
_________________________________________________________________
batch_normalization_1 (Batch (None, 62, 62, 32)        128       
_________________________________________________________________
dropout_1 (Dropout)          (None, 62, 62, 32)        0         
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 60, 60, 64)        18496     
_________________________________________________________________
batch_normalization_2 (Batch (None, 60, 60, 64)        256       
_________________________________________________________________
dropout_2 (Dropout)          (None, 60, 60, 64)        0         
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 58, 58, 64)        36928     
_________________________________________________________________
batch_normalization_3 (Batch (None, 58, 58, 64)        256       
_________________________________________________________________
dropout_3 (Dropout)          (None, 58, 58, 64)        0         
_________________________________________________________________
flatten_1 (Flatten)          (None, 215296)            0         
_________________________________________________________________
dense_1 (Dense)              (None, 1024)              220464128 
_________________________________________________________________
batch_normalization_4 (Batch (None, 1024)              4096      
_________________________________________________________________
dropout_4 (Dropout)          (None, 1024)              0         
_________________________________________________________________
dense_2 (Dense)              (None, 2)                 2050      
=================================================================
Total params: 220,527,234
Trainable params: 220,524,866
Non-trainable params: 2,368
_________________________________________________________________
starting load data
done load data
100%|██████████| 125/125 [00:00<00:00, 148.85it/s]
100%|██████████| 8/8 [00:00<00:00, 156.80it/s]
Train on 125 samples, validate on 8 samples
Epoch 1/8

 64/125 [==============>...............] - ETA: 16s - loss: 1.3197 - acc: 0.5781
125/125 [==============================] - 29s 233ms/step - loss: 3.0316 - acc: 0.6080 - val_loss: 6.2061 - val_acc: 0.5000

Epoch 00001: val_loss improved from inf to 6.20606, saving model to bnorm_3.hdf5
Epoch 2/8

 64/125 [==============>...............] - ETA: 7s - loss: 4.5018 - acc: 0.6250
125/125 [==============================] - 15s 123ms/step - loss: 2.8835 - acc: 0.7040 - val_loss: 5.8238 - val_acc: 0.5000

Epoch 00002: val_loss improved from 6.20606 to 5.82379, saving model to bnorm_3.hdf5
Epoch 3/8

 64/125 [==============>...............] - ETA: 8s - loss: 0.6147 - acc: 0.9062
125/125 [==============================] - 18s 142ms/step - loss: 0.5773 - acc: 0.9200 - val_loss: 2.7759 - val_acc: 0.6250

Epoch 00003: val_loss improved from 5.82379 to 2.77594, saving model to bnorm_3.hdf5
Epoch 4/8

 64/125 [==============>...............] - ETA: 7s - loss: 0.4361 - acc: 0.9531
125/125 [==============================] - 18s 143ms/step - loss: 0.2764 - acc: 0.9520 - val_loss: 3.5696 - val_acc: 0.5000

Epoch 00004: val_loss did not improve
Epoch 5/8

 64/125 [==============>...............] - ETA: 8s - loss: 0.0067 - acc: 1.0000
125/125 [==============================] - 17s 134ms/step - loss: 0.1071 - acc: 0.9680 - val_loss: 0.0208 - val_acc: 1.0000

Epoch 00005: val_loss improved from 2.77594 to 0.02075, saving model to bnorm_3.hdf5
Epoch 6/8

 64/125 [==============>...............] - ETA: 8s - loss: 0.0039 - acc: 1.0000
125/125 [==============================] - 17s 139ms/step - loss: 0.0228 - acc: 0.9920 - val_loss: 3.2272 - val_acc: 0.6250

Epoch 00006: val_loss did not improve
Epoch 7/8

 64/125 [==============>...............] - ETA: 8s - loss: 0.0358 - acc: 0.9844
125/125 [==============================] - 17s 132ms/step - loss: 0.0375 - acc: 0.9840 - val_loss: 3.2688 - val_acc: 0.6250

Epoch 00007: val_loss did not improve
Epoch 8/8

 64/125 [==============>...............] - ETA: 7s - loss: 0.0050 - acc: 1.0000
125/125 [==============================] - 17s 134ms/step - loss: 0.0072 - acc: 1.0000 - val_loss: 3.3076 - val_acc: 0.6250

Epoch 00008: val_loss did not improve
1 ../../validation/rust/image (85).png
0 ../../validation/mildew/image (19).png
0 ../../validation/mildew/image (14).png
1 ../../validation/rust/image (9).png
0 ../../validation/mildew/image (8).png
0 ../../validation/mildew/image (10).png
1 ../../validation/rust/image (46).png
1 ../../validation/rust/image (45).png

Process finished with exit code 0