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Deep Learning Academy · Lesson

Assemble a CNN Image Classifier

Conv-ReLU-pool blocks into a working model.

The CNN Recipe

A classic image classifier stacks conv-ReLU-pool blocks to extract features, then ends with dense layers that predict the class.

One Building Block

Each block follows the same rhythm: a conv layer, a ReLU activation, then a pool. This is the basic conv block you repeat.

block = nn.Sequential(
    nn.Conv2d(3, 16, 3, padding=1),
    nn.ReLU(),
    nn.MaxPool2d(2),
)

All lessons in this course

  1. Convolution: Kernels Slide Over Pixels
  2. Stride, Padding & Pooling
  3. Channels, Feature Maps & Receptive Fields
  4. Assemble a CNN Image Classifier
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