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Custom `nn.Module` with a Non-standard Initialization
Create a **custom `nn.Module`** for a simple feed-forward layer. Instead of the default PyTorch initialization, you'll apply a specific, non-standard initialization scheme. For example, you could...
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Implementing Weight Initialization Schemes
Implement **different weight initialization schemes** (e.g., Xavier/Glorot, He) for a simple neural network. Create a function that iterates through a model's parameters and applies a chosen...
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Weight Initialization Techniques
Initialize a neural network's weights using different schemes: - Xavier initialization. - Kaiming initialization. Show histograms of weight distributions before and after initialization.
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