edX
MOOC / Non-credit
0
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.
A
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
Deep Learning
#deep learning
#python
#transfer learning
#model evaluation
#autoencoders
#neural networks
#model training
#regularization
#learning rate
#self-supervised learning
$299.00
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