Learning Timeline
Key Insights
Implicit Context inference
Nano Banana Pro can deduce missing context that isn't explicitly in the code. For example, it may correctly identify input dimensions (like 1x28x28 for MNIST) based on standard library usage, even if those specific numbers are not present in your snippet.
Mathematical Accuracy Warning
Verify the specific dimension calculations in the generated diagram. The AI may hallucinate slight mathematical errors in layer transitions (e.g., generating a 6x6 output when the math dictates 5x5).
Prompts
Code-to-Diagram Instruction
Target:
Nano Banana Pro
Make a diagram showing this neural network.
[PASTE PYTHON CODE HERE]
Step by Step
Generating Architecture Diagrams from Code
- Open the Nano Banana Pro interface.
- Click into the main text prompt area.
- Type the instruction: 'Make a diagram showing this neural network.'
- Insert a line break or space after the instruction.
- Paste the raw Python code defining the neural network class and layers directly into the prompt field.
- Submit the prompt to generate the response.
- Review the generated image, specifically verifying the flow from Input to Pooling, Convolution, Flattening, and Output classes.
