When starting with deep learning, the experience can be overwhelming and filled with challenges.Many deep learning engineers have gone through periods of confusion, making mistakes, and feeling like imposters.Debugging deep learning models can be absurd, with issues such as vanishing gradients and CUDA errors.Over time, engineers learn to embrace the chaos, finding joy in the process and learning from failures.