torch==1.12.1 torchvision==0.13.1 numpy==1.23.5 matplotlib==3.7.1 tqdm==4.65.0
Reading Sequence
D2NN
D2NN-plus = D2NN + Beam-Diffraction
- Only 5 Phase Layers are concerned.
- The Beam Propagation Evolution are not concerned.
- The rate of training is Faster.
- The Accuracy is limited to 70-80% for 5 diffractive layers.
- The free space is Totally Meshed.
- The Beam Propagation Evolution are concerned.
- Only 5 meshed layers are attached with Phase Learning.
- Similar Accuracy with D2NN.
The accuracy of D2NN model is troubling me for a long time. It seems difficult to be optimized to 90% accuracy.
Congratulations!
By using 4F system D2NN, I've got 97% Accuracy for MNIST validation dataset.
Now, I'm trying to apply D2NN on CIFAR-10 dataset with multichannel explorations. God Blessing Me !