Adding Fire
Explore the process of adding a multi-fire module block to the SqueezeNet model and understand the concept of delayed downsampling. This lesson guides you through strategically placing max pooling layers later in the network to improve accuracy while building efficient image recognition models.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Add a multi-fire module block to the model
- Learn about delayed downsampling
A. Delayed downsampling
While reducing the data dimensions via max pooling can help our model training, strategic placement of max pooling layers can improve the SqueezeNet model's accuracy. Rather than applying max pooling within the ...