Code: ReLU and Leaky ReLU in Deep Learning using PyTorch: A Code Walkthrough!

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Activation functions are at the heart of what makes neural networks capable of learning complex patterns. In this video, we discuss the coding of two of the most popular activation functions used in deep learning today—ReLU (Rectified Linear Unit) and Leaky ReLU using PyTorch.

*What You Will Learn in This Video:*
-- ReLU Activation Function in PyTorch: We’ll show you how to use ReLU directly in your PyTorch models, discuss its advantages, and how it’s used in modern deep learning architectures.
-- Leaky ReLU Activation Function in PyTorch: Learn how to implement Leaky ReLU and understand why it’s a great alternative when you face the Dying ReLU problem.

The following GitHub link has the Jupyter notebook file that I used in the video. The file name is: NN_Intro-with-ReLU-LeakyReLU.ipynb

#DeepLearning #ActivationFunctions #ReLU #LeakyReLU #PyTorch #MachineLearning #AI #NeuralNetworks #DyingReLU #CodingTutorial #LearnWithCode

Dr. Shahriar Hossain
  1. Computing For All
  2. ReLU
  3. Leaky ReLU
  4. Pytorch ReLU
  5. Pytorch Leaky ReLU
  6. Activation functions
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