Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization

© Brett Koonce 2021

B. KoonceConvolutional Neural Networks with Swift for Tensorflowhttps://doi.org/10.1007/978-1-4842-6168-2_7

7. SqueezeNet

Brett Koonce¹  

(1)

Jefferson, MO, USA

 

For the next few chapters, we’re going to look at convolutional neural networks designed specifically for running on mobile devices, primarily phones. A lot of research has gone into building more complicated models using larger and larger clusters of computers to try and increase accuracy on the ImageNet problem. Mobile phones/edge devices are an area of machine learning that has not been explored as deeply, but in my opinion is extremely important. There is the direct goal of getting devices working on real-world devices, but to me what is interesting in particular is ...