Computer vision
Free
CS231n - Deep Learning for Computer Vision
with Stanford
The course that taught a generation computer vision.
Advanced 40h
Deep Learning Specialization
Five courses covering the whole deep learning stack.
Five courses covering the full deep learning stack: the fundamentals of neural networks, how to tune and structure them, then convolutional networks and sequence models.
with DeepLearning.AI
Listed by AI Review Rating. We are not affiliated with DeepLearning.AI and earn nothing from this link.
About DeepLearning.AI
DeepLearning.AI was founded by Andrew Ng and publishes its courses on Coursera, most of which can be audited free. Its specializations are the most widely taken structured route into machine learning.
Course overview
It is the most complete structured route through deep learning available for free audit, and the assignments are what make it stick.
What you will learn
- Build and train deep neural networks from the fundamentals up
- Tune hyperparameters, apply regularisation and use optimisation properly
- Structure a machine learning project so the errors are diagnosable
- Build convolutional networks and sequence models for real tasks
Who this course is for
Developers moving into ML
the standard structured path
Practitioners with gaps
the parts you learned out of order, in order
Course details
FormatFive courses of video lectures with programming assignments
LevelIntermediate
PriceFree to audit
Time125 hours
CertificateYes, on completion
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