class_docstr: Inception v3 model from
  `"Rethinking the Inception Architecture for Computer Vision"
  <http://arxiv.org/abs/1512.00567>`_ paper.
  
  Parameters
  ----------
  classes : int, default 1000
      Number of classification classes.
class_docstr_tok: ["Inception","v3","model","from","`","``","Rethinking","the","Inception","Architecture","for","Computer","Vision","''","<","http",":","\/\/arxiv.org\/abs\/1512.00567",">","`","_","paper",".","Parameters","--","--","--","--","--","classes",":","int",",","default","1000","Number","of","classification","classes","."]
code: def __init__(self, classes=1000, **kwargs):
      super(Inception3, self).__init__(**kwargs)
      # self.use_aux_logits = use_aux_logits
      self.features = nn.HybridSequential()
      self.features.add(
          _make_basic_conv(channels=32, kernel_size=3, strides=2)
      )
      self.features.add(_make_basic_conv(channels=32, kernel_size=3))
      self.features.add(
          _make_basic_conv(channels=64, kernel_size=3, padding=1)
      )
      self.features.add(nn.MaxPool2D(pool_size=3, strides=2))
      self.features.add(_make_basic_conv(channels=80, kernel_size=1))
      self.features.add(_make_basic_conv(channels=192, kernel_size=3))
      self.features.add(nn.MaxPool2D(pool_size=3, strides=2))
      self.features.add(_make_A(32))
      self.features.add(_make_A(64))
      self.features.add(_make_A(64))
      self.features.add(_make_B())
      self.features.add(_make_C(128))
      self.features.add(_make_C(160))
      self.features.add(_make_C(160))
      self.features.add(_make_C(192))
      self.features.add(_make_D())
      self.features.add(_make_E())
      self.features.add(_make_E())
      self.features.add(nn.AvgPool2D(pool_size=8))
      self.features.add(nn.Dropout(0.5))
  
      self.output = nn.Dense(classes)
  
file_path: mxnet/python/mxnet/gluon/model_zoo/vision/inception.py
imports: import os
  from ....device import cpu
  from ...block import HybridBlock
  from ...None import nn
  from ....None import base
  from ....util import use_np, wrap_ctx_to_device_func
label_desc: Use image node_id 1 to create a new Inception3 object from inherited base classes: HybridBlock with example: obj = Inception3(classes)