Chapter 9 – Hybrid Deep Learning Methods

1. We don’t provide a full answer here, but only some functions that will help you with the main task.

   We could use torch.nn.functional.triplet_margin_loss(), or we could implement it from scratch:

   import torch
   import torch.nn as nn
   from torch.nn import functional as F
   class TripletLoss(nn.Module):
       def __init__(self, margin=1.0):
           super(TripletLoss, self).__init__()
           self.margin = margin
       def forward(self, anchor, pos, neg):
           pos_dist = F.pairwise_distance(anchor, pos)
           neg_dist = F.pairwise_distance(anchor, neg)
           loss = torch.relu(pos_dist - neg_dist + self.margin)
           return loss.mean()

   You would want to generate...