Training Deep Neural Networks with 8-bit Floating Point Numbers

Firstly,when all the operands (i.e., weights, activations, errors and gradients) for general matrix multiplication (GEMM) and convolution computations are reduced to 8 bits, most DNNs suffer noticeable accuracy degradation (e.g., Figure 1(a)).