Model Layers
Explore the architecture of ResNet model layers, focusing on initial convolution with large kernels and max pooling for dimension reduction. Understand how block layers and fully connected layers form the weight structure of ResNet models like ResNet-18. This lesson helps you grasp how ResNet efficiently processes images for classification tasks.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Understand how the ResNet architecture is structured
A. Initial layers
Prior to the block layers, the ResNet model uses a convolution layer and max pooling layer on the input data. The convolution layer uses 7x7 kernels, which is ...