TensorBoard – How to Visualize Data Using TensorBoard
TensorBoard is a web-based tool embedded in TensorFlow. It provides a suite of methods that we can use to get insights into TensorFlow sessions and graphs, thus allowing the user to inspect, visualize, and understand them deeply. It provides access to many functionalities in a straightforward way, as follows:
- It allows us to explore the details of TensorFlow model graphs, making the user able to zoom in to specific blocks and subsections.
- It can generate plots of typical quantities of interest that we can take a look at during training, such as loss and accuracy.
- It gives us access to histogram visualizations that show tensors changing over time.
- It provides trends of layer weights and bias over epochs.
- It stores runtime metadata for a run, such as total memory usage.
- It visualizes embeddings.
TensorBoard reads TensorFlow log files containing summary information about the training process...