Adjusting enhancement coefficients for neural network engine

A method for performing computations of a neural network comprising a plurality of layers including at least a first layer and a second layer, the method comprising:

• accessing data representing an image including an array of pixels;
• performing a forward pass of the data through the plurality of layers;
• for a particular location in the array of pixels, generating a pixel vector representing values output by the plurality of layers for that particular location, wherein the pixel vector includes a first value generated by a first layer of the plurality of layers and a second value generated by a second layer of the plurality of layers, wherein the second layer is deeper along the plurality of layers of the neural network than the first layer;
• and
• adjusting an enhancement coefficient of the first value of the first layer based on the second value of the second layer.

A controller comprising one or more processors configured to:

• perform a forward pass of input data of an array of pixels through a plurality of layers of a neural network;
• for a particular location in the array of pixels, generate a pixel vector representing values output by the plurality of layers for that particular location, wherein the pixel vector includes a first value generated by a first layer of the plurality of layers and a second value generated by a second layer of the plurality of layers;
• and
• adjust an enhancement coefficient of the first value of the first layer based on the second value of the second layer.