Hi, I’m currently using a pretrained MobileNetV2 model for my audio classification.
As a beginner of using PyTorch and from reading other similar topics, I understand how to modify the first and the last layer:
from torchvision.models import mobilenet_v2 import torch import torch.nn as nn mobilenet_model = mobilenet_v2(pretrained=True) mobilenet_model.features = nn.Conv2d(1, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) # Modify the first layer mobilenet_model.classifier = nn.Linear(1280, NUM_CLASSES, bias=True) # Modify the last layer
It works great, but now I want to experiment this model with different approaches by applying different classifiers (like KNN), but I’m not sure how to change the last layer to use, let’s say, KNN instead of linear transformation.
Does anyone know how to do this? Any resource is also fine!