Module ImportFrom alias alias alias Import alias identifier ImportFrom alias Import alias ImportFrom alias ImportFrom alias identifier FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam NameParam defaults Num Num Num Num NameLoad NameLoad Num Str body Expr Str Assign NameStore Call AttributeLoad NameLoad attr NameLoad Assign NameStore Call NameLoad NameLoad Assign NameStore Call AttributeLoad NameLoad attr keyword NameLoad keyword NameLoad With Call AttributeLoad NameLoad attr NameLoad NameStore body Assign NameStore Call AttributeLoad NameLoad attr BinOpAdd NameLoad Str keyword ListLoad SubscriptLoad NameLoad Index Num keyword Call AttributeLoad NameLoad attr NameLoad keyword NameLoad keyword NameLoad Assign NameStore Call AttributeLoad NameLoad attr BinOpAdd NameLoad Str keyword ListLoad SubscriptLoad NameLoad Index Num keyword NameLoad keyword NameLoad keyword NameLoad Expr Call AttributeLoad NameLoad attr BinOpAdd BinOpAdd AttributeLoad AttributeLoad NameLoad attr attr Str NameLoad NameLoad Expr Call AttributeLoad NameLoad attr BinOpAdd BinOpAdd AttributeLoad AttributeLoad NameLoad attr attr Str NameLoad NameLoad If UnaryOpNot NameLoad body Expr Call AttributeLoad NameLoad attr AttributeLoad AttributeLoad NameLoad attr attr NameLoad Expr Call AttributeLoad NameLoad attr AttributeLoad AttributeLoad NameLoad attr attr NameLoad Assign NameStore Call NameLoad Call NameLoad BinOpSub NameLoad Num Assign NameStore Call AttributeLoad NameLoad attr BinOpAdd NameLoad Str SubscriptLoad NameLoad Slice Num keyword AttributeLoad NameLoad attr keyword NameLoad keyword NameLoad Assign NameStore Call AttributeLoad NameLoad attr BinOpAdd NameLoad Str SubscriptLoad NameLoad Slice Num keyword AttributeLoad NameLoad attr keyword NameLoad keyword NameLoad FunctionDef arguments args defaults body Assign TupleStore NameStore NameStore Call AttributeLoad AttributeLoad NameLoad attr attr NameLoad NameLoad Assign NameStore Call AttributeLoad NameLoad attr NameLoad NameLoad NameLoad Assign NameStore Call AttributeLoad NameLoad attr NameLoad NameLoad NameLoad With Call AttributeLoad NameLoad attr ListLoad NameLoad NameLoad body Return TupleLoad Call AttributeLoad NameLoad attr NameLoad Call AttributeLoad NameLoad attr NameLoad decorator_list Assign NameStore Call AttributeLoad NameLoad attr Assign TupleStore NameStore NameStore Call AttributeLoad AttributeLoad AttributeLoad NameLoad attr attr attr NameLoad NameLoad Lambda arguments args defaults TupleLoad NameLoad NameLoad TryExcept body Assign NameStore Call AttributeLoad AttributeLoad NameLoad attr attr NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad Expr Call AttributeLoad NameLoad attr NameLoad handlers ExceptHandler type NameLoad name NameStore body Assign NameStore Call AttributeLoad AttributeLoad NameLoad attr attr NameLoad NameLoad NameLoad NameLoad NameLoad NameLoad keyword NameLoad Expr Call AttributeLoad NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr NameLoad Return NameLoad decorator_list FunctionDef arguments args NameParam NameParam NameParam NameParam NameParam NameParam defaults Num Num Num Num Str body Expr Str With Call AttributeLoad NameLoad attr NameLoad NameStore body Assign NameStore Call AttributeLoad AttributeLoad NameLoad attr attr NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad keyword NameLoad Assign AttributeStore NameLoad attr NameLoad Return NameLoad decorator_list
N/A __future__ division print_function absolute_import N/A tensorflow tf tensorflow.python.training moving_averages N/A tflearn N/A utils N/A variables vs batch_normalization N/A N/A incoming beta gamma epsilon decay trainable restore stddev name N/A 0.0 1.0 1e-05 0.9 True True 0.002 BatchNormalization N/A N/A  Batch Normalization.

    Normalize activations of the previous layer at each batch.

    Arguments:
        incoming: `Tensor`. Incoming Tensor.
        beta: `float`. Default: 0.0.
        gamma: `float`. Default: 1.0.
        epsilon: `float`. Defalut: 1e-5.
        decay: `float`. Default: 0.9.
        trainable: `bool`. If True, weights will be trainable.
        restore: `bool`. If True, this layer weights will be restored when
            loading a model.
        stddev: `float`. Standard deviation for weights initialization.
        name: `str`. A name for this layer (optional).

    References:
        Batch Normalization: Accelerating Deep Network Training by Reducing
        Internal Covariate Shif. Sergey Ioffe, Christian Szegedy. 2015.

    Links:
        [http://arxiv.org/pdf/1502.03167v3.pdf](http://arxiv.org/pdf/1502.03167v3.pdf)

     N/A input_shape N/A N/A utils get_incoming_shape incoming N/A input_ndim N/A len input_shape N/A gamma_init N/A N/A tf random_normal_initializer mean gamma stddev stddev N/A N/A N/A tf name_scope name scope N/A N/A beta N/A N/A vs variable N/A scope beta shape N/A N/A input_shape N/A -1 initializer N/A N/A tf constant_initializer beta trainable trainable restore restore N/A gamma N/A N/A vs variable N/A scope gamma shape N/A N/A input_shape N/A -1 initializer gamma_init trainable trainable restore restore N/A N/A N/A tf add_to_collection N/A N/A N/A N/A tf GraphKeys LAYER_VARIABLES / scope beta N/A N/A N/A tf add_to_collection N/A N/A N/A N/A tf GraphKeys LAYER_VARIABLES / scope gamma N/A N/A restore N/A N/A N/A N/A tf add_to_collection N/A N/A tf GraphKeys EXCL_RESTORE_VARS beta N/A N/A N/A tf add_to_collection N/A N/A tf GraphKeys EXCL_RESTORE_VARS gamma N/A axis N/A list N/A range N/A input_ndim 1 N/A moving_mean N/A N/A vs variable N/A scope moving_mean N/A input_shape N/A -1 initializer N/A tf zeros_initializer trainable False restore restore N/A moving_variance N/A N/A vs variable N/A scope moving_variance N/A input_shape N/A -1 initializer N/A tf ones_initializer trainable False restore restore update_mean_var N/A N/A N/A N/A N/A N/A mean variance N/A N/A N/A tf nn moments incoming axis N/A update_moving_mean N/A N/A moving_averages assign_moving_average moving_mean mean decay N/A update_moving_variance N/A N/A moving_averages assign_moving_average moving_variance variance decay N/A N/A N/A tf control_dependencies N/A update_moving_mean update_moving_variance N/A N/A N/A N/A N/A tf identity mean N/A N/A tf identity variance N/A N/A is_training N/A N/A tflearn get_training_mode N/A N/A mean var N/A N/A N/A N/A tf python control_flow_ops cond is_training update_mean_var N/A N/A N/A N/A N/A moving_mean moving_variance N/A N/A N/A inference N/A N/A N/A tf nn batch_normalization incoming mean var beta gamma epsilon N/A N/A N/A inference set_shape input_shape N/A N/A N/A Exception N/A e N/A N/A inference N/A N/A N/A tf nn batch_norm_with_global_normalization incoming mean var beta gamma epsilon scale_after_normalization True N/A N/A N/A inference set_shape input_shape N/A N/A inference scope scope N/A N/A inference beta beta N/A N/A inference gamma gamma N/A inference N/A local_response_normalization N/A N/A incoming depth_radius bias alpha beta name N/A 5 1.0 0.0001 0.75 LocalResponseNormalization N/A N/A  Local Response Normalization.

    Input:
        4-D Tensor Layer.

    Output:
        4-D Tensor Layer. (Same dimension as input).

    Arguments:
        incoming: `Tensor`. Incoming Tensor.
        depth_radius: `int`. 0-D.  Half-width of the 1-D normalization window.
            Defaults to 5.
        bias: `float`. An offset (usually positive to avoid dividing by 0).
            Defaults to 1.0.
        alpha: `float`. A scale factor, usually positive. Defaults to 0.0001.
        beta: `float`. An exponent. Defaults to `0.5`.

     N/A N/A N/A tf name_scope name scope N/A N/A inference N/A N/A N/A tf nn lrn incoming depth_radius depth_radius bias bias alpha alpha beta beta name name N/A N/A inference scope scope N/A inference N/A