Catalogue average
3.6
across 19 courses
Range
1.0–5.0
worst course to best course
Reviews read
326
across those courses
The courses
PyTorch: Techniques and Ecosystem ToolsDeepLearning.AI5.0Coursera 5.0Holds up- 4.7Coursera 4.8Holds up
- 4.6Coursera 4.7Holds up
- PyTorch: FundamentalsDeepLearning.AI4.6Coursera 4.8Holds up
- Team Software Engineering with AIDeepLearning.AI4.6Coursera 4.6Holds up
- AI-Powered Software and System DesignDeepLearning.AI4.5Coursera 4.7Holds up
- 4.5Coursera 4.9Holds up
- Advanced Deployment Scenarios with TensorFlowDeepLearning.AI4.4Coursera 4.8Holds up
- 4.2Coursera 4.8Padded
- Device-based Models with TensorFlow LiteDeepLearning.AI4.1Coursera 4.7Padded
- PyTorch: Advanced Architectures and DeploymentDeepLearning.AI4.0Coursera 4.9Padded
- Browser-based Models with TensorFlow.jsDeepLearning.AI3.6Coursera 4.8Padded
- Introduction to Generative AI for Software DevelopmentDeepLearning.AI2.6Coursera 4.6Inflated
- Convolutional Neural Networks in TensorFlowDeepLearning.AI2.5Coursera 4.7Inflated
- Data Pipelines with TensorFlow Data ServicesDeepLearning.AI2.5Coursera 4.5Inflated
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep LearningDeepLearning.AI2.5Coursera 4.8Inflated
- Natural Language Processing in TensorFlowDeepLearning.AI2.4Coursera 4.6Inflated
- Sequences, Time Series and PredictionDeepLearning.AI1.5Coursera 4.7Inflated
- Pair Programming with a Large Language ModelDeepLearning.AI1.0Coursera —No rating
Teaches with
Coursera credits Laurence Moroney with 22 courses; Starisk has scored 19 of them so far.
The average weights each course by the reviews we read, so a course with four readable reviews does not pull as hard as one with twenty. It is still a small sample: 326 reviews in total.
A course taught by several people counts for everyone on it. The score is the same one the course page shows — what the most-upvoted reviews say — not a verdict on the teaching.The method.