Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
precision, allowing for accurate computations but consuming more memory. FP32 uses 32 bits to represent a number. float16 — This lower precision can reduce the memory footprint and computational requirements of the model, leading to potential gains in efficiency and speed. However, it may result in