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Inception (deep learning architecture)

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  • Comment: Probably a notable topic, but needs sources PrussianOwl (talk) 03:24, 25 March 2019 (UTC)

Inceptionv3[1] is the name of a data set sometimes used in a Convolutional_neural_network for assisting in Image_analysis and Object_detection. Just as ImageNet can be thought of as a database of classified visual objects, Inception helps classification of objects[2] in the world of Computer_vision. As referenced at DeepDream it was "codenamed 'Inception' after the film of the same name".

References

  1. ^ Shlens, Jon. "Train your own image classifier with Inception in TensorFlow". https://ai.googleblog.com. Retrieved 4 April 2019. {{cite web}}: External link in |website= (help)
  2. ^ Karim and Zaccone (March 2018). Deep Learning with TensorFlow. Packt Publishing. pp. Chapter 4. ISBN 9781788831109.