Deep Learning

What Will You Learn?

• Neural network basics
• CNN & RNN models
• TensorFlow & PyTorch
• Model optimization
• Large dataset training
• Deep learning projects

Material Includes

• Get access to curated notes, guides, and reference materials that help you revise concepts anytime, even offline
• Work on practical assignments and real-life scenarios to build job-ready skills and strengthen your portfolio
• Test your understanding with interactive quizzes and module-based assessments to track your progress and reinforce learning
• Practice what you learn with guided exercises that help you gain confidence in applying concepts independently

Requirements

• Basic knowledge of Python programming.
• Understanding of mathematics, including linear algebra, probability, and calculus (helpful but not mandatory).
• Familiarity with machine learning concepts is helpful but not required.
• A strong interest in artificial intelligence and problem-solving using data.

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