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Being new to deep learning and even pytorch, I have a hard time understanding the intricate network structure in deep learning. What are the roles of the convolutional, pooling and Softmax layers? How are they connected? A visual representation would improve development and learning efficiency.
I need a visual structure to help me understand urgently!!!.
👍 What problem does this feature solve
Each experiment dashboard displays a different diagram of the network architecture to make it easier to compare experiments.
The model building process is easier to understand.
Make model fine-tuning process more convenient.
👾 What does the proposed application interface look like?
Maybe swanlab.struct? You can add this code under model define process, take this picture as example:
🚑 Any additional information [e.g. screenshots].
This is the current work in several related fields, I hope it will be helpful to you.
Zeyi-Lin
changed the title
[FEATURE] Demonstrate the neural network structure of each experimental
Demonstrate the neural network structure of each experimental
Mar 21, 2024
🤩 Functional description
Being new to deep learning and even pytorch, I have a hard time understanding the intricate network structure in deep learning. What are the roles of the convolutional, pooling and Softmax layers? How are they connected? A visual representation would improve development and learning efficiency.
I need a visual structure to help me understand urgently!!!.
👍 What problem does this feature solve
👾 What does the proposed application interface look like?
Maybe swanlab.struct? You can add this code under model define process, take this picture as example:
🚑 Any additional information [e.g. screenshots].
This is the current work in several related fields, I hope it will be helpful to you.
https://github.com/HarisIqbal88/PlotNeuralNet
https://github.com/julrog/nn_vis
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