Week 5 - Convolutional Neural Networks, Part II

This week you will...

• get familiar wit transfer learning, a powerful technique to include the knowledge of models that were trained on large datasets and benefit from the features these models already learned in your own problem scenario.

• move beyond binary classification into categorical classification and the specific coding considerations for the corresponding models.

• present your key findings for the literature review considering you selected project

Learning Resources

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250522_CNNs in TensorFlow-Part-II.pdf

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Presentation Slides from this week

• Introduction on Transfer Learning (8 min)

• Video on how to implement transfer learning with CNNs (12 min)

• Blog to learn about multi-class classification

Until next week you should...

• Prepare questions for the instructor team on potential problems you see in your project

• Watch the following videos:

  • What is NLP (9 min)

  • NLP Zero to Hero Part 1 (5 min)

  • NLP Zero to Hero Part 2 (6 min)

  • NLP Zero to Hero Part 3 (8 min)

  • Embeddings explained (8 min)

• Complete the exercise assignment in this notebook

complete the first milestone, that is the literature review and descriptive statistics, on Sunday before the feedback session next week! Follow the instructions given in the template repository and share the link to your project repository in the Google Sheet including the current list of projects, so we can review you completions there.