7 Telling birds from airplanes: Learning from images
This chapter covers
- Building a feed-forward neural network
- Loading data using
Datasets andDataLoaders - Understanding classification loss
The last chapter gave us the opportunity to dive into the inner mechanics of learning through gradient descent, and the facilities that PyTorch offers to build models and optimize them. We did so using a simple regression model of one input and one output, which allowed us to have everything in plain sight but admittedly was only borderline exciting.
In this chapter, we’ll keep moving ahead with building our neural network foundations. This time, we’ll turn our attention to images. Image recognition is arguably the task that made the world realize the ...
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