PyTorch Tutorial 11 – Softmax and Cross Entropy
New Tutorial series about Deep Learning with PyTorch!
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In this part we learn about the softmax function and the cross entropy loss function. Softmax and cross entropy are popular functions used in neural nets, especially in multiclass classification problems. Learn the math behind these functions, and when and how to use them in PyTorch. Also learn differences between multiclass and binary classification problems.
– Softmax function
– Cross entropy loss
– Use softmax and cross entropy in PyTorch
– Differences between binary and multiclass classification
Part 11: Softmax and Cross Entropy
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