AI & Data Science
Updated Sep 2026
Deep Learning with Neural Networks
3.5
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(2 ratings)
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4 students enrolled
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Certified Course
What you'll learn
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Understand the core concepts of Deep Learning with Neural Networks
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Build a complete, portfolio-worthy project
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Apply professional best practices and patterns
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Debug problems confidently on your own
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Know exactly what to learn next
Course Content
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Getting Started
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lock Deep Learning with Neural Networks: Course Overview
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lock Deep Learning with Neural Networks: Setting Up Your Environment
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lock Deep Learning with Neural Networks: Core Concepts Explained
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lock Deep Learning with Neural Networks: Worked Examples
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lock Deep Learning with Neural Networks: Practice Exercises
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Core Concepts
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lock Deep Learning with Neural Networks: Advanced Techniques
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lock Deep Learning with Neural Networks: Common Pitfalls to Avoid
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lock Deep Learning with Neural Networks: Patterns & Best Practices
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lock Deep Learning with Neural Networks: Case Study
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lock Deep Learning with Neural Networks: Mini Project
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Hands-On Practice
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lock Deep Learning with Neural Networks: Guided Walkthrough
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lock Deep Learning with Neural Networks: Building a Real Feature
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lock Deep Learning with Neural Networks: Debugging Session
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lock Deep Learning with Neural Networks: Performance Tips
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lock Deep Learning with Neural Networks: Challenge Lab
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Capstone Project
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lock Deep Learning with Neural Networks: Capstone Introduction
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lock Deep Learning with Neural Networks: Planning Your Project
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lock Deep Learning with Neural Networks: Building the Project
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lock Deep Learning with Neural Networks: Review & Feedback
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lock Deep Learning with Neural Networks: Wrap-Up & What's Next
Requirements
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Basic computer literacy
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No background in AI & Data Science required
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A few hours per week to practice
$99.99
This course includes:
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3h 55m on-demand video
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15 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
Quick Annotation
"The intersection of algorithmic logic and physical mass is where the next century of architecture will be written."
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