Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion articles/Debugging-CNTK-source-code-in-Visual-Studio.md
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ In the **Solution Explorer**, find the CNTK project and make sure it is the star

In the **Solution Explorer**, find the CNTK project and right click on **Properties**. From the **Properties** dialog, click on **Configuration Properties** and then on **Debugging**.

Assuming you have your CNTK source at `C:\src` and you want to debug with config file `lr_bs.cntk` from the the tutorial
Assuming you have your CNTK source at `C:\src` and you want to debug with config file `lr_bs.cntk` from the tutorial
[HelloWorld-LogisticRegression](https://github.com/Microsoft/CNTK/tree/release/latest/Tutorials/HelloWorld-LogisticRegression), set the
Command Arguments as follows:

Expand Down
2 changes: 1 addition & 1 deletion articles/Serialization.md
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ z = create_model(x) #user-defined
z.save("myModel.model")
```

Note that a model saved in this way using the[CNTK Library API](/cognitive-toolkit/cntk-library-api) will have the model-v2 format. The model-v2 format is a Protobuf-based model serialization format, introduced in CNTK v2. (For more information, refer to [CNTK model format](/cognitive-toolkit/CNTK-model-format).) While any file extension can be used (and you may see the use of various file extensions such as `.model`, `.dnn`, `.cmf` across CNTK documentation), we recommend that you stick to the convention of using `.model` for your CNTK models.
Note that a model saved in this way using the [CNTK Library API](/cognitive-toolkit/cntk-library-api) will have the model-v2 format. The model-v2 format is a Protobuf-based model serialization format, introduced in CNTK v2. (For more information, refer to the [CNTK model format](/cognitive-toolkit/CNTK-model-format).) While any file extension can be used (and you may see the use of various file extensions such as `.model`, `.dnn`, `.cmf` across CNTK documentation), we recommend that you stick to the convention of using `.model` for your CNTK models.

### Load model
To load a model from file into CNTK:
Expand Down
2 changes: 1 addition & 1 deletion articles/Setup-OpenCV-on-Linux.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ ms.devlang: python

# Setup OpenCV on Linux

You need to install OpenCV for CNTK 2.3 and above, if you want to build any of the the following:
You need to install OpenCV for CNTK 2.3 and above, if you want to build any of the following:
- CNTK Image Reader
- CNTK Image Writer - required to use Tensorboard's Image feature.

Expand Down