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Course Outline
Introduction
Overview of Deep Learning Concepts
How CNNs (Convolutional Neural Networks) Work
Setting up the Development Environment
How Transfer Learning Works
Segmenting an Image
Analyzing an Image
Designing a CNN
Training a CNN
Classifying an Image
Integreting a Deep Learning Model into an Application
Deploying a Deep Learning Application
Summary and Conclusion
Requirements
- An understanding of deep neural networks
- Python programming experience
Audience
- Developers
- Data scientists
14 Hours
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