Quantization

Quantization aware training PyTorch is an important technique in deep learning that helps models become smaller, faster, and more efficient without losing too much accuracy. In modern machine learning applications, especially those running on mobile devices or edge hardware, model size and speed are critical. Quantization aware training, often shortened as QAT, allows neural networks … Read more

Quantization error in ADC, or Analog-to-Digital Conversion, is a critical concept in digital electronics and signal processing. It refers to the difference between the actual analog input signal and the digitized output produced by an ADC. Understanding quantization error is essential for engineers, designers, and anyone working with digital systems, as it directly affects the … Read more