January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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TensorBoard
TensorBoard is a suite of visualization tools for training deep learning-based models with TensorFlow. The following data can be visualized in TensorBoard:
- Graphs: Computation graphs, device placements, and tensor details
- Scalars: Metrics such as loss, accuracy over iterations
- Images: Used to see the images with corresponding labels
- Audio: Used to listen to audio from training or a generated one
- Distribution: Used to see the distribution of some scalar
- Histograms: Includes histogram of weights and biases
- Projector: Helps visualize the data in 3-dimensional space
- Text: Prints the training text data
- Profile: Sees the hardware resources utilized for training
Tensorboard is installed along with TensorFlow. Go to the python3 prompt ...
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