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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Part 01:
   • PyTorch Tutorial 01 - Installation  

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