This PR adds template for Image Classification in Tensorflow.
Details
Keras API
Visualization in Tensorboard
Public dataset (MNIST, FashionMNIST, CIFAR10)
All pretrained Models available in Tensorflow
### Checklist
- [x] all tests are passing (see README.md on how to run tests)
- [x] if you created a new template: it contains a file `test-inputs.yml`, which specifies a few input values to test the code template (the test is then automatically run by pytest)
- [x] you formatted all code with [black](https://github.com/psf/black)
- [x] you checked all new functionality live, i.e. in the running web app
- [x] any generated code is formatted nicely, both in .py and in .ipynb ("nicely" = comparable to the existing templates)
- [x] you added comments in your code that explain what it does
- [x] the PR explains in detail what's new
Summary
This PR adds template for Image Classification in Tensorflow.
Details
- Keras API
- Visualization in Tensorboard
- Public dataset (MNIST, FashionMNIST, CIFAR10)
- All pretrained Models available in Tensorflow
### Checklist - [x] all tests are passing (see README.md on how to run tests) - [x] if you created a new template: it contains a file `test-inputs.yml`, which specifies a few input values to test the code template (the test is then automatically run by pytest) - [x] you formatted all code with [black](https://github.com/psf/black) - [x] you checked all new functionality live, i.e. in the running web app - [x] any generated code is formatted nicely, both in .py and in .ipynb ("nicely" = comparable to the existing templates) - [x] you added comments in your code that explain what it does - [x] the PR explains in detail what's new