Tensorboard- superimpose 2 plots

Question

In tensorboard, I would like to superimpose 2 plots on the same graph (training and validation losses of a neural network).

I can see 2 separate plots, but not one p

Answer 1

It is possible to superimpose two plots in Tensorboard. You'll have to satisfy both of the following:

1. Create two separate tf.train.SummaryWriter objects such that it outputs in two folders.

2. Create two summaries (e.g. tf.scalar_summary) with the same name.

For example to plot training and validation loss:

# Before training
train_summary = tf.scalar_summary('Loss', train_loss)
vali_summary = tf.scalar_summary('Loss', vali_loss)
train_writer = tf.train.SummaryWriter('/tmp/train'), sess.graph)
vali_writer = tf.train.SummaryWriter('/tmp/vali'), sess.graph)

# And then later
train_writer.add_summary(...)
vali_writer.add_summary(...)