TensorBoard – Plot training and validation losses on the same graph?

by

The work-around I have been doing is to use two SummaryWriter with different log dir for training set and cross-validation set respectively. And you will see something like this:

enter image description here

More Related Contents:

  1. What is the difference between steps and epochs in TensorFlow?
  2. What is the difference between a sigmoid followed by the cross entropy and sigmoid_cross_entropy_with_logits in TensorFlow?
  3. Train Tensorflow Object Detection on own dataset
  4. How do you read Tensorboard files programmatically?
  5. Is there anyone that can help me in finding an accurate dataset?
  6. What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits?
  7. Common causes of nans during training of neural networks
  8. What is the meaning of the word logits in TensorFlow? [duplicate]
  9. How to interpret MSE in Keras Regressor
  10. Can I use TensorBoard with Google Colab?
  11. Getting a low ROC AUC score but a high accuracy
  12. Epoch vs Iteration when training neural networks [closed]
  13. What is `weight_decay` meta parameter in Caffe?
  14. ValueError at /image/ Tensor Tensor(“activation_5/Softmax:0”, shape=(?, 4), dtype=float32) is not an element of this graph
  15. Why does one hot encoding improve machine learning performance? [closed]
  16. How to calculate optimal batch size
  17. What are the differences between all these cross-entropy losses in Keras and TensorFlow?
  18. Keras Text Preprocessing – Saving Tokenizer object to file for scoring
  19. Unable to approximate the sine function using a neural network
  20. TensorFlow operator overloading
  21. How to get other metrics in Tensorflow 2.0 (not only accuracy)?
  22. Removing then Inserting a New Middle Layer in a Keras Model
  23. Unbalanced data and weighted cross entropy
  24. Pattern recognition in time series [closed]
  25. TimeDistributed(Dense) vs Dense in Keras – Same number of parameters
  26. Tensor is not an element of this graph
  27. Fine Tuning of GoogLeNet Model
  28. Keras, Tensorflow : Merge two different model output into one
  29. How to reduce a fully-connected (`”InnerProduct”`) layer using truncated SVD
  30. Tensorflow One Hot Encoder?

Leave a Comment