PyTorch Tutorial 11 – Softmax and Cross Entropy

Learn all the basics you need to get started with this deep learning framework! 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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Official website:
https://pytorch.org/

Part 01:
https://youtu.be/EMXfZB8FVUA

Code for this tutorial series:
https://github.com/python-engineer/pytorchTutorial

You can find me here:
Website: https://www.python-engineer.com
Twitter: https://twitter.com/python_engineer
GitHub: https://github.com/python-engineer

#Python #DeepLearning #Pytorch

Post Author: hatefull