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[Statistics question]: DL Training slides #97

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haesleinhuepf opened this issue Nov 2, 2024 · 1 comment
Open

[Statistics question]: DL Training slides #97

haesleinhuepf opened this issue Nov 2, 2024 · 1 comment
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@haesleinhuepf
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I need a PowerPoint presentation about activation functions. We should create three plots:

Linear activation
Sigmoid
ReLu
All three plots should be saved as .png files.

Afterwards, we can create a PowerPoint presentation with three slides explaining the principles behind also showing the respective png next to the text.

git-bob try to do this

@haesleinhuepf haesleinhuepf self-assigned this Nov 2, 2024
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github-actions bot commented Nov 2, 2024

This message was generated by git-bob (version: 0.12.1dev, model: claude-3-5-sonnet-20241022, log), an experimental AI-based assistant. It can make mistakes and has limitations. Check its messages carefully.

I created a comprehensive set of visualization materials for different activation functions used in deep learning. This included generating three plots using Python (linear, sigmoid, and ReLU activation functions) saved as PNG files, creating a Jupyter notebook that contains the plotting code, and assembling a PowerPoint presentation that explains each activation function with accompanying visualizations.

  • relu_activation.png Generated plot showing the ReLU activation function which outputs the input for positive values and zero for negative values.
  • linear_activation.png Generated plot demonstrating the linear activation function showing a straight line relationship between input and output.
  • sigmoid_activation.png Generated plot illustrating the sigmoid activation function showing its characteristic S-shaped curve.
  • activation_functions_plots.ipynb Created a Jupyter notebook containing code to generate and save plots for linear, sigmoid, and ReLU activation functions.
  • activation_functions_presentation.pptx Created a PowerPoint presentation explaining the principles of different activation functions with accompanying visualizations.

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