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README.md

      1 # TensorFlow contrib layers.
      2 
      3 ## initializers.py
      4 
      5 Functions that produce variable initializer functions with signature:
      6 
      7 `foo(shape, dtype) : Tensor`
      8 
      9 These are typically consumed by functions in [layers.py](#layers.py).
     10 
     11 ## layers.py {#.py}
     12 
     13 Functions that produce layer operations and associated weight & bias variables. Signatures will vary for different functions, but they will often take many of
     14 these arguments.
     15 
     16 `foo(x,
     17      num_outputs,
     18      ,
     19      weight_init=<DEFAULT>,
     20      bias_init=<DEFAULT>,
     21      weight_regularizer=None,
     22      bias_regularizer=None,
     23      name=None) : Tensor`
     24 
     25 `x` is the input tensor.
     26 
     27 Weights and biases are added to `tf.GraphKeys.GLOBAL_VARIABLES` and
     28 `tf.GraphKeys.TRAINABLE_VARIABLES`.
     29 
     30 ## optimizers.py
     31 
     32 Functions that add optimization ops given `loss` and `global_step` tensors.
     33 
     34 ## regularizers.py
     35 
     36 Functions that produce weight regularization functions with signature
     37 
     38 `foo(weight_vars, name=None) : Operation`
     39 
     40 These are typically consumed by functions in [layers.py](#layers.py).
     41 
     42 ## summaries.py
     43 
     44 Functions that add summary ops to the standard `tf.GraphKeys.SUMMARIES`
     45 collection. They also avoid name conflicts in the summary key.
     46