VisualDL supports Python and C++ based DL frameworks, there are several demos for different platforms.
Locates in ./paddle.
This is a visualization for vgg on cifar10 dataset, we visualize the CONV parameters,
and there are some interesting patterns.
Locates in ./pytorch-CycleGAN-and-pix2pix.
This submodule is forked from pytorch-CycleGAN-and-pix2pix, great model and the generated fake images are really funny.
This demo only works with CycleGAN mode, read CycleGAN train doc and changes to the original code for more information.
Locates in ./mxnet_demo.
By adding VisualDL as callbacks to model.fit,
we can use the Python SDK in MxNet,
but it seems that only the outside program can only retrieve parameters in epoch callbacks,
that limits the number of steps for visualization.
Locates in ./pytorch.
This shows how to use VisualDL in PyTorch for a CNN on cifar10 dataset. We visualize the loss in Scalar,
two convolutional layers in Image, the change trend of conv1 weights in Histogram and the final model graph
in Graph.
Locates in ./caffe2.
This shows how to use VisualDL in Caffe2 for LeNet model on mnist dataset. We visualize the loss and accuracy in Scalar,
CONV parameters in Histograms.