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#hide
!pip install -Uqq fastbook
import fastbook
fastbook.setup_book()

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#hide
from fastai.vision.all import *
from fastbook import *
matplotlib.rc('image', cmap='Greys')

[[chapter_convolutions]]

Convolutional Neural Networks

In <> we learned how to create a neural network recognizing images. We were able to achieve a bit over 98% accuracy at distinguishing 3s from 7s—but we also saw that fastai’s built-in classes were able to get close to 100%. Let’s start trying to close the gap.

In this chapter, we will begin by digging into what convolutions are and building a CNN from scratch. We will then study a range of techniques to improve training stability and learn all the tweaks the library usually applies for us to get great results.