Need a Neural Network and Deep learning model for GenAI image generation
I need a pre trained model that can analyse all the shapes present in an image and convert them to the closest regular geometric shape the closely resemble. The image should be regularised based on symmetry and completion of incomplete curves.
ValueError: shapes (64,100) and (10,100) not aligned: 100 (dim 1) != 10 (dim 0)
i got this error during implementation of training a 2-layer neural network