DNN Speech Recognizer

Evaluation

Your project will be reviewed by a Udacity reviewer against the DNN Speech Recognizer project rubric. Review this rubric thoroughly, and self-evaluate your project before submission. All criteria found in the rubric must meet specifications for you to pass.

Submission

When you are ready to submit your project, collect the following files and compress them into a single archive for upload:

• The vui_notebook.ipynb file with fully functional code, all code cells executed and displaying output, and all questions answered.
• An HTML or PDF export of the project notebook with the name report.html or report.pdf.
• The sample_models.py file with all model architectures that were trained in the project Jupyter notebook.
• The results/ folder containing all HDF5 and pickle files corresponding to trained models.

Alternatively, your submission could consist of the GitHub link to your repository.

Ready to submit your project?

Click on the "Submit Project" button and follow the instructions to submit!