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"CODE LINK"-https://colab.research.google.com/drive/1fwRZd-y6n_ZAhjzdfdMnlLIc-LYJLKpx?usp=sharing
In this video, we dive deep into the world of ReLU (Rectified Linear Unit) and its powerful variants used in deep learning and neural networks. Whether you're a beginner or an experienced practitioner, understanding these activation functions can help optimize your models for better performance!
🔹 Topics Covered:
✔ Standard ReLU – The foundational activation function
✔ Leaky ReLU – Fixing the "dying ReLU" problem
✔ Parametric ReLU (PReLU) – Learnable slopes for flexibility
✔ Exponential Linear Unit (ELU) – Smooth gradients for faster convergence
✔ Scaled Exponential Linear Unit (SELU) – Self-normalizing networks
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