medium10 pts · first answer countsdeep-learningloss-functionspytorch
Loss for a single-logit classifier
Your binary classifier ends with nn.Linear(64, 1) and no activation. Which loss is the right choice?
Discussion 0
Join free to post in the discussion.
Related questions
- Dropout after eval()Machine Learning Engineer
- Expected starting loss, 10 classesMachine Learning Engineer
- Parameters in nn.Linear(10, 5)Machine Learning Engineer
- Why sigmoid slows deep trainingMachine Learning Engineer
- Range of tanhMachine Learning Engineer
- Cross-entropy loss by handMachine Learning Engineer
- Telling autograd to track a tensorMachine Learning Engineer
- Why wrap inference in no_gradMachine Learning Engineer