Orson Adams orsonadams

## attention.py
from keras.engine.topology import Layer
from keras import initializations
from keras import backend as K

class Attention(Layer):
    '''Attention operation for temporal data.
    # Input shape
        3D tensor with shape: `(samples, steps, features)`.
    # Output shape
        2D tensor with shape: `(samples, features)`.

## autoencoders.ipynb

      
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                orsonadams
                / autoencoders.ipynb
            
            
              Created
              March 22, 2018 03:38
                — forked from akelleh/autoencoders.ipynb
            
          
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## useful_pandas_snippets.py
# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!
	from keras.engine.topology import Layer
	from keras import initializations
	from keras import backend as K

	class Attention(Layer):
	'''Attention operation for temporal data.
	# Input shape
	3D tensor with shape: `(samples, steps, features)`.
	# Output shape
	2D tensor with shape: `(samples, features)`.
	# List unique values in a DataFrame column
	# h/t @makmanalp for the updated syntax!
	df['Column Name'].unique()

	# Convert Series datatype to numeric (will error if column has non-numeric values)
	# h/t @makmanalp
	pd.to_numeric(df['Column Name'])

	# Convert Series datatype to numeric, changing non-numeric values to NaN
	# h/t @makmanalp for the updated syntax!