deep-learningjupyter-notebookjupyterjupyter-labtensorboard
Tensorboard shows the same result after specifying a new logdir in jupyter notebook
I used the following lines to open a tensorboard for one log directory in a Jupyter notebook:
%load_ext tensorboard
%tensorboard --logdir saved_models/tutorial5/GoogleNetLocal/lightning_logs/version_2/
In another cell, I wanted to open another board for a different directory using %tensorboard --logdir ./saved_models/tutorial5/ResNetLocal/lightning_logs/version_0/. However, it still shows the previous board as shown below. Why it doesn't create a new board for the second directory?
Thank you so much for your help!
Solution
I'll share the answer to this question in case it might be useful for someone else:
The issue can be solved by specifying a different port using --port xxxx when running %tensorboard
- Why is my convolutional model for detecting image rotation predicting the same class for every picture?
- Does using torch.where to threshold a tensor detach it tensor from the computational graph?
- PyTorch RuntimeError: device >= 0 && device < num_gpus INTERNAL ASSERT FAILED
- tensorflow:Can save best model only with val_acc available, skipping
- Issue with training Keras model using ModelCheckpoint in Kaggle notebook (Unexpected result of `train_function` (Empty logs))
- How to fix the learning-rate for Huggingface´s Trainer?
- What is the difference between backpropagation and reverse-mode autodiff?
- why softmax get small gradient when the value is large in paper 'Attention is all you need'
- What does model.eval() do in pytorch?
- How to add the bounding box values to the labels text files during prediction with a trained YOLO-V8 instance segmentation model?
- How to calculate optimal batch size?
- What is FLOPS in field of deep learning?
- Tensorflow TFLearn working example with TFLearn
- Converting Detectron2 to other frameworks
- How can I use a pre-trained neural network with grayscale images?
- How to deep-learn simple data in exponential form?
- Is GradScaler necessary with Mixed precision training with pytorch?
- How to avoid "CUDA out of memory" in PyTorch
- PyTorch model input shape
- In MLflow, is there a way group metrics & params into "sections" like the system section?
- Difference between TensorFlow model fit and train_on_batch
- SNPE Model conversion: Syntax for model input with 0 dimensions
- Loss remains unchanged in a multiclass classification deep model
- Python tensorflow keras error when load a json model: Could not locate class 'Sequential'
- What is validation set for yolov5 training and is it necessary?
- stmemory and ltmemory in "How to build your own AlphaZero AI using Python and Keras"
- YOLOv8: How to calculate map on test set
- In pytorch, how to use the weight parameter in F.cross_entropy()?
- Low accuracy i.e. 52% in predicting whereas the training and validation accuracy during training is around 92%
- Concatenate two layers in keras, tensorflow