Jupyter + TensorBoard

Getting Started

Select Jupyter + TensorBoard as the plugin. Select an option for Python Version and Type within the Application Parameters. The default Log Dir for TensorBoard is $HOME.

TensorBoard & Jupyter will launch in separate browsers.

Below is a simple demonstration using TensorBoard to visualize model performance. The Notebook builds and trains a simple neural network for classifying 28x28 grayscale images into 10 types of clothing. For more information on building & training a simple model using Tensorflow, reference Jupyter + TensorFlow.

Basic TensorBoard

The tensorboard_callback saved the log files to the logs folder which is then accessed by TensorBoard.

Basic TensorBoard

External References

For more information on how to use TensorBoard, please visit tensorflow.org/tensorboard.

For more information on how to use TensorFlow, please visit tensorflow.org.

For more information on how to use the Jupyter family of products, please visit jupyter.org

Version Options & Configurations

The Jupyter application includes Conda with Python 2.7, 3.6, 3.7 & 3.8. The CUDA version loaded is dependent upon system and node type.

Node Type CPU GPU
Python 3.6 / 3.7 / 3.8 3.6 / 3.7 / 3.8
CudaToolKit N/A 11.0.221
cuDNN N/A 8.0.4
TensorFlow 2.4.1 2.4.0
PyTorch 1.7.0 1.7.0