Deep Learning · MT2 · section

How to draw the architecture diagrams

CNN architectures and transfer learning

For AlexNet, draw a sequence of convolution/pooling stages followed by dense layers and classifier. For Inception, draw four parallel branches and a channel-concatenation join. For ResNet, draw one transformation branch and one shortcut meeting at a plus sign. For transfer learning, draw frozen pretrained base → new trainable head, then mark selected base layers optionally unfrozen for fine-tuning.

Diagram: Draw the sequential path, parallel branches or additive shortcut that explains the architecture.. Labels: Three architecture ideas to remember | Three architecture ideas to remember | These are different designs, not three consecutive layers of one network. | AlexNet | Sequential | convolution and | pooling stages | Inception | Parallel branches; | concatenate their | channels | ResNet | Learn a branch; add a | shortcut | A diagram should show the mechanism, not only the architecture name.