Introduction to Neural Networks and Deep Learning with Python

edX MOOC / Non-credit USD 299

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Introduction to Neural Networks and Deep Learning with Python

About this course

Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning rate affect performance. Explore transfer and self-supervised learning (autoencoders). Build models from scratch and learn to diagnose behavior and generalization.

What you'll learn

understand the structure and function of neural networks
implement and train deep learning models using Python
diagnose model behavior and improve generalization
explore transfer learning and self-supervised learning techniques

Course objectives

build practical skills in deep learning
learn to make informed architectural decisions in neural networks
gain experience in model evaluation and optimization

Skills you'll gain

deep learning python transfer learning model evaluation autoencoders neural networks model training regularization learning rate self-supervised learning

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