Why 3D layers?

3D layers allow us to use convolutions to learn the image features. This helps the network decrease its training time as there will be less weight in the deep network.

The three dimensions of an image are as follows:

• Height
• Width
• Depth (RGB)

The 3D layers of an image can be seen in the following screenshot:

Fig 6.4: 3D layers

In the next section of this chapter, we will understand the convolution layer.