Systems and methods for encoding/decoding a deep neural network

A method comprising:

• receiving an encoded bitstream, wherein the encoded bitstream comprises quantized parameters of a tensor associated with at least one layer of a Deep Neural Network, and wherein the encoded bitstream comprises a codebook including a codebook size obtained according to a distortion value determined between the tensor and a quantized version of the tensor;
• decoding the codebook from the bitstream;
• and
• performing inverse quantization of the parameters of the tensor using the codebook.

An apparatus comprising one or more processors, wherein the one or more processors are configured to:

• receive an encoded bitstream, wherein the encoded bitstream comprises quantized parameters of a tensor associated with at least one layer of a Deep Neural Network, and wherein the encoded bitstream comprises a codebook including a codebook size obtained according to a distortion value determined between the tensor and a quantized version of the tensor;
• decode the codebook from the bitstream;
• and
• perform inverse quantization of the parameters of the tensor using the codebook.