TensorFlow Debugging Guide

This skill provides a systematic approach to debugging TensorFlow applications, covering common error patterns, debugging tools, and resolution strategies.

Common Error Patterns

1. Shape Mismatch Errors

Symptoms:

• InvalidArgumentError: Incompatible shapes
• ValueError: Shapes (X,) and (Y,) are incompatible
• Matrix multiplication failures

Diagnostic Steps:

# Print shapes at key points
print(f"Input shape: {x.shape}")
print(f"Expected shape: {model.input_shape}")