Brief Introduction
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.
Description
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.
Knowledge
- 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
PyTorch for Deep Learning and Computer Vision
- 4.5
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Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning....
Microsoft Excel - Advanced Excel Formulas & Functions
- 4.7
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Master 75+ MS Excel formulas and learn data analysis with a top Microsoft Excel & business intelligence instructor See why this is one of the TOP-RATED Excel courses on Udemy:...
Gender Analytics Capstone Project
- 0.0
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It’s time to use your Gender Analytics skills to tackle a real-world challenge in your capstone project. Identify the problem to solve...
Statistics with R Capstone
- 4.6
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The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. About the Capstone Project...
