Softmax Activation in PyTorch for Beginners | Deep Learning with PyTorch

Welcome to our comprehensive PyTorch tutorial on Softmax Activation.
Videos are uploaded in a timely manner.

🎯 Topics covered in this video:
⌨️ Sigmoid versus Softmax
⌨️ Understanding Softmax Activation: What it is and why it's important in neural networks.
⌨️ Why shouldn’t we use Sigmoid for multi-class output. Normalizing outputs by using Sigmoid.
⌨️ Softmax formulation.
⌨️ Conclusion.

Resources:

👨‍💻 **Who Is This For?**
This tutorial is designed for beginners who are just starting with deep learning and want to get hands-on experience with PyTorch.
Whether you're new to deep learning or looking to sharpen your skills, this video is designed to provide you with a solid understanding of Softmax function and its crucial role in multi-class classification problems. If you're a beginner looking to enhance your deep learning skills using PyTorch, this tutorial series is perfect for you!

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Time breaks:
00:00 Sigmoid vs Softmax
01:26 Softmax Overview
02:59 Why not Sigmiod for multi-class
06:34 Softmax formulation
07:45 Python implementation
11:37 Conclusion

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