Transfer Learning and Image Classification with ML.NET

Transfer Learning and Image Classification with ML.NET

In this article, we explore how image classification can be done using Transfer learning in ML.NET. we explore transfer learning with famous Convolutional Neural Networks and how it can be achieved with ML.NET.

It is always fun and educational to read deep learning scientific papers. Especially if it is in the area of the current project that you are working on. However, often these papers contain architectures and solutions that are hard to train. Especially if you want to try out, let’s say, some of the winners of_ the __ImageNet Large Scale Visual Recognition_  (ILSCVR ) competition. I can remember reading about VGG16 and thinking “That is all cool, but my GPU is going to die”. However, we can overcome that and use the most prestigious architecture thanks to the concept of transfer learning. In this article, we explore transfer learning with famous Convolutional Neural Networks  and how it can be achieved with ML.NET.

The topics covered in this article are:

  1. Dataset and Prerequisites
  2. Transfer Learning Intuition
  3. Architectures
  4. ML.NET and TensorFlow
  5. Implementation with ML.NET

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