https://github.com/sweetpand/tensorboard_visualization_graph_freeze
Tensorboard_Visualization_Graph_Freeze
https://github.com/sweetpand/tensorboard_visualization_graph_freeze
freeze-graph freeze-model mnist tensorboard tensorboard-visualizations tensorflow tensorflow-experiments tensorflow-tutorials
Last synced: about 2 months ago
JSON representation
Tensorboard_Visualization_Graph_Freeze
- Host: GitHub
- URL: https://github.com/sweetpand/tensorboard_visualization_graph_freeze
- Owner: sweetpand
- License: mit
- Created: 2020-03-19T14:28:18.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-19T16:21:06.000Z (about 5 years ago)
- Last Synced: 2025-04-07T16:19:55.589Z (about 2 months ago)
- Topics: freeze-graph, freeze-model, mnist, tensorboard, tensorboard-visualizations, tensorflow, tensorflow-experiments, tensorflow-tutorials
- Language: Python
- Size: 1.2 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## TensorBoard
----
[image01]: ./Screenshot/tensorboard_mnist_tsne.png "tsne"
[image02]: ./Screenshot/tensor_board_pca_mnist.png "pca"
[image03]: ./Screenshot/scalar_graphs.png "scalar graphs"
### TensorBoard Visualization
---
- This program demonstrates use of tensorboard for **mnist**
- Clone the repository
- Run `tensorboard_train_freeze.py`
- To visualize tensorboard run the following command in the terminal `tensorboard --logdir="/home/jai/Desktop/TensorBoard Example/example"`
- The command that you have to run will be provided when you run `tensorboard_train_freeze.py` but it will be similar to above command
### TSNE for MNIST
---
![SCREEENSHOT][image01]
### PCA for MNIST
---
![SCREEENSHOT][image02]
### Accuracy and Error Graph
---
![SCREEENSHOT][image03]
### Using Freezed Graph
---
- To use the feezed graph see `test_freeze.py`
- `test_freeze.py` loads the freezed graph and gives the accuracy of the model