| activation | MXNet.NN.Layer |
| ActivationType | MXNet.NN.Layer |
| activationTypeToStr | MXNet.NN.Layer |
| ADAM | MXNet.NN.Optimizer, MXNet.NN |
| batch | MXNet.NN.DataIter.LazyVec |
| Config | |
| 1 (Type/Class) | MXNet.NN |
| 2 (Data Constructor) | MXNet.NN |
| convolution | MXNet.NN.Layer |
| CrossEntropy | |
| 1 (Type/Class) | MXNet.NN.EvalMetric |
| 2 (Data Constructor) | MXNet.NN.EvalMetric |
| Dataset | MXNet.NN.DataIter.Class |
| DatasetConstraint | MXNet.NN.DataIter.Class |
| Direct | MXNet.NN.DataIter.LazyVec |
| EvalMetricExc | MXNet.NN.EvalMetric |
| EvalMetricMethod | MXNet.NN.EvalMetric |
| evaluate | MXNet.NN.EvalMetric |
| Exc | MXNet.NN |
| fit | MXNet.NN |
| fitAndEval | MXNet.NN |
| flatten | MXNet.NN.Layer |
| force | MXNet.NN.DataIter.LazyVec |
| forEachD | MXNet.NN.DataIter.Class |
| forEachD_i | MXNet.NN.DataIter.Class |
| forEachD_ni | MXNet.NN.DataIter.Class |
| formatContext | MXNet.NN.Utils |
| formatMetric | MXNet.NN.EvalMetric |
| formatShape | MXNet.NN.Utils |
| forwardOnly | MXNet.NN |
| fromListD | MXNet.NN.DataIter.Class |
| fromVec | MXNet.NN.DataIter.LazyVec |
| fullyConnected | MXNet.NN.Layer |
| getContext | MXNet.NN |
| getMetric | MXNet.NN.EvalMetric |
| inferShape | MXNet.NN |
| initialize | MXNet.NN |
| Initializer | MXNet.NN.Types, MXNet.NN |
| InvalidInput | MXNet.NN.EvalMetric |
| Lazy | MXNet.NN.DataIter.LazyVec |
| LVec | |
| 1 (Type/Class) | MXNet.NN.DataIter.LazyVec |
| 2 (Data Constructor) | MXNet.NN.DataIter.LazyVec |
| Make | MXNet.NN.DataIter.LazyVec |
| makeOptimizer | MXNet.NN.Optimizer, MXNet.NN |
| map | MXNet.NN.DataIter.LazyVec |
| Metric | |
| 1 (Type/Class) | MXNet.NN.EvalMetric |
| 2 (Data Constructor) | MXNet.NN.EvalMetric |
| metric_instance | MXNet.NN.EvalMetric |
| metric_labelname | MXNet.NN.EvalMetric |
| metric_name | MXNet.NN.EvalMetric |
| metric_sum | MXNet.NN.EvalMetric |
| MismatchedShape | MXNet.NN |
| newMetric | MXNet.NN.EvalMetric |
| OptArgsCst | MXNet.NN.Optimizer, MXNet.NN |
| OptArgsList | MXNet.NN.Optimizer, MXNet.NN |
| optimize | MXNet.NN.Optimizer, MXNet.NN |
| Optimizer | MXNet.NN.Optimizer, MXNet.NN |
| Parameter | |
| 1 (Type/Class) | MXNet.NN.Types, MXNet.NN |
| 2 (Data Constructor) | MXNet.NN.Types, MXNet.NN |
| pooling | MXNet.NN.Layer |
| PoolingAvg | MXNet.NN.Layer |
| PoolingMax | MXNet.NN.Layer |
| PoolingMethod | MXNet.NN.Layer |
| poolingMethodToStr | MXNet.NN.Layer |
| PoolingSum | MXNet.NN.Layer |
| Relu | MXNet.NN.Layer |
| resetMetric | MXNet.NN.EvalMetric |
| Session | |
| 1 (Type/Class) | MXNet.NN.Types, MXNet.NN |
| 2 (Data Constructor) | MXNet.NN.Types, MXNet.NN |
| sess_context | MXNet.NN.Types, MXNet.NN |
| sess_param | MXNet.NN.Types, MXNet.NN |
| SGD | MXNet.NN.Optimizer, MXNet.NN |
| Sigmoid | MXNet.NN.Layer |
| size | MXNet.NN.DataIter.LazyVec |
| sizeD | MXNet.NN.DataIter.Class |
| softmaxoutput | MXNet.NN.Layer |
| SoftRelu | MXNet.NN.Layer |
| Tanh | MXNet.NN.Layer |
| toVec | MXNet.NN.DataIter.LazyVec |
| train | MXNet.NN |
| TrainM | MXNet.NN.Types, MXNet.NN |
| unLVec | MXNet.NN.DataIter.LazyVec |
| variable | MXNet.NN.Layer |
| zip | MXNet.NN.DataIter.LazyVec |
| zipD | MXNet.NN.DataIter.Class |
| _cfg_context | MXNet.NN |
| _cfg_default_initializer | MXNet.NN |
| _cfg_initializers | MXNet.NN |
| _cfg_placeholders | MXNet.NN |
| _metric_instance | MXNet.NN.EvalMetric |
| _metric_labelname | MXNet.NN.EvalMetric |
| _metric_name | MXNet.NN.EvalMetric |
| _metric_sum | MXNet.NN.EvalMetric |
| _param_grad | MXNet.NN.Types, MXNet.NN |
| _param_in | MXNet.NN.Types, MXNet.NN |
| _sess_context | MXNet.NN.Types, MXNet.NN |
| _sess_param | MXNet.NN.Types, MXNet.NN |