Wimi Hologram Cloud Developed An Efficient Cgh Technology Based On Deep Learning And Neural Networks

WiMi Hologram Cloud Inc. has announced a new and more efficient solution for computer-generated holography (CGH) through deep learning and neural network technology. Deep learning can find the optimal or local optimal solution in operation, making it efficient to compute CGH. Traditional convolutional neural networks rely on convolutional filters and nonlinear activation functions, which means that the processed data are assumed to be linearly separable. However, problems such as image coding, holographic encryption, and frequency analysis are difficult to describe by linearly divisible functions.