saurabhghatnekar

import numpy as np


class NeuralNetwork(object):
    def __init__(self, input_nodes, hidden_nodes, output_nodes, learning_rate):
        # Set number of nodes in input, hidden and output layers.
        self.input_nodes = input_nodes
        self.hidden_nodes = hidden_nodes
        self.output_nodes = output_nodes

saurabhghatnekar

heimdall@R558U ~ $ npm i -g sirajcoin
loadDep:webpack -> header | |#############------------------------------------|
WARN engine [email protected]: wanted: {"node":">=4.5.0"} (current: {"node":"4.2.6loadDep:webpack -> fetch  | |#############------------------------------------|
WARN engine [email protected]: wanted: {"node":">=4.3.0 <5.0.0 || >=5.10"} (currentloadDep:uuid -> afterAdd  / |###############----------------------------------|
WARN engine [email protected]: wanted: {"node":">=4.5.0"} (current: {"node":"4.2.6","npnpm WARN deprecated [email protected]: please upgrade to graceful-fs 4 for compatibility with current and future versions of Node.js
loadDep:yargs -> network  \ |################---------------------------------|
WARN engine [email protected]: wanted: {"node":">=4.3.0 <5.0.0 || >=5.10"} loadDep:yargs -> get      / |################---------------------------------|
WARN engine [email protected]: wanted: {"node":">=4.3.0 <5.0.0 || >=5.10"} (culoadDep:yargs -> get      - |################-------

saurabhghatnekar

/home/heimdall/anaconda3/bin/python /mnt/attic/Projects/normimages/newMethod/testing.py
GridSearchCV(cv=None, error_score='raise',
       estimator=SVC(C=1.0, cache_size=200, class_weight='balanced', coef0=0.0,
  decision_function_shape='ovr', degree=3, gamma='auto', kernel='rbf',
  max_iter=-1, probability=False, random_state=None, shrinking=True,
  tol=0.001, verbose=False),
       fit_params=None, iid=True, n_jobs=1,
       param_grid={'C': [1000.0, 5000.0, 10000.0, 50000.0, 100000.0], 'gamma': [0.0001, 0.0005, 0.001, 0.005, 0.01, 0.1]},
       pre_dispatch='2*n_jobs', refit=True, return_train_score='warn',
       scoring=None, verbose=0)

saurabhghatnekar

/home/heimdall/anaconda3/bin/python /home/heimdall/pycharm-2018.1/helpers/pydev/pydev_run_in_console.py 37507 33143 /home/heimdall/Desktop/facial_final/train2.py
Running /home/heimdall/Desktop/facial_final/train2.py

import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['/home/heimdall/Desktop/facial_final'])

Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 18:10:19) 
Type 'copyright', 'credits' or 'license' for more information
IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help.
/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.

saurabhghatnekar

/home/heimdall/anaconda3/bin/python /home/heimdall/pycharm-2018.1/helpers/pydev/pydev_run_in_console.py 36483 41605 /home/heimdall/Desktop/facial_final/train2.py
Running /home/heimdall/Desktop/facial_final/train2.py

import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend(['/home/heimdall/Desktop/facial_final'])

Python 3.6.4 |Anaconda, Inc.| (default, Jan 16 2018, 18:10:19) 
Type 'copyright', 'credits' or 'license' for more information
IPython 6.2.1 -- An enhanced Interactive Python. Type '?' for help.
/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.

saurabhghatnekar

/home/heimdall/anaconda3/bin/python /mnt/attic/Projects/normimages/newMethod/stdData.py
Extracting the top 150 eigenfaces from 1702 faces
/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedPCA is deprecated; RandomizedPCA was deprecated in 0.18 and will be removed in 0.20. Use PCA(svd_solver='randomized') instead. The new implementation DOES NOT store whiten ``components_``. Apply transform to get them.
  warnings.warn(msg, category=DeprecationWarning)
done in 2.670s
Projecting the input data on the eigenfaces orthonormal basis
done in 0.524s
Fitting the classifier to the training set
done in 73.977s
Best estimator found by grid search:

saurabhghatnekar

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saurabhghatnekar

/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 #   

saurabhghatnekar

/home/heimdall/anaconda3/bin/python /mnt/attic/DADA/codes/glcm/class.py
/home/heimdall/anaconda3/lib/python3.6/site-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
  "This module will be removed in 0.20.", DeprecationWarning)
LR 71.42857142857143
             precision    recall  f1-score   support

          0       0.67      0.67      0.67         3
          1       0.75      0.75      0.75         4

avg / total       0.71      0.71      0.71         7

saurabhghatnekar

/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 11:21:02.269997: 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 #