Python Pytorch Tutorials # 2 Transfer Learning : Inference with ImageNet Models
Pytorch is another deep learning framework, which I am finding to be more intuitive than the other popular framework Tensorflow.
As we continue with this mini series of transfer learning with Pytorch,
we will now learn about inference and imagenet Models.
Imagenet models are open-sourced models that were trained on million-image dataset on 1000 categories.
These models will form the basis of transfer learning, which as the concept name reads, the transfering of
a model to a custom dataset; our dataset.
Before we initiate transfer learning we need to first understand a little more about imagenet models as well as
inference.
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