Key insight: (5-layer with dropout) outperformed deeper or wider models, likely due to better regularization on MNIST-scale data.
Practicing "photo-bashing" or using the images as a base for stylized character art.
: Sets like "01-15" allow for a cohesive aesthetic across different virtual environments or animations.
: The primary models or high-resolution images included in Set 01–15. Documentation
Key insight: (5-layer with dropout) outperformed deeper or wider models, likely due to better regularization on MNIST-scale data.
Practicing "photo-bashing" or using the images as a base for stylized character art.
: Sets like "01-15" allow for a cohesive aesthetic across different virtual environments or animations.
: The primary models or high-resolution images included in Set 01–15. Documentation
