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Applied Deep Learning Capstone Project

In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

Applied Deep Learning Capstone Project

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Estimated 5 weeks
2–4 hours per week
Self-paced
Progress at your own speed
Free
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About this course

Skip About this course

In this capstone project, you'lluse a Deep Learning library ofyour choice to develop, train, and test a Deep Learning model.Loadand preprocess data for a real problem, build the model and then validate it.

Finally, you will present a project report to demonstrate the validity of yourmodel andyour proficiency in the field of deep learning.

At a glance

  • Institution: IBM
  • Subject: Data Analysis & Statistics
  • Level: Advanced
  • Prerequisites:
    • Completed all courses in the Deep Learning Professional Certification Program
  • Language: English
  • Associated programs:

What you'll learn

Skip What you'll learn
  • Determine what kind of Deep Learning method to use in which situation
  • Know how to build a Deep Learning model to solve a real problem
  • Master the process of creating a Deep Learning pipeline
  • Apply knowledge of Deep Learning to improve models using real data
  • Demonstrate ability to present and communicate outcomes of Deep Learning projects

About the instructors

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