/
Machine Learning Specialization
/
Course 2
/
Module 2
Syllabus
Courses
Course Syllabus
Advanced Learning Algorithms
Module 1: Neural Networks
Neural networks intuition
Practice quiz: Neural networks intuition
Neural network model
Practice quiz: Neural network model
TensorFlow implementation
Practice quiz: TensorFlow implementation
Neural network implementation in Python
Practice quiz: Neural network implementation in Python
Speculations on artificial general intelligence (AGI)
Vectorization (optional)
Practice Lab: Neural networks
Module 2: Neural network training
Neural Network Training
Practice quiz: Neural Network Training
Activation Functions
Practice quiz: Activation Functions
Multiclass Classification
Practice quiz: Multiclass Classification
Additional Neural Network Concepts
Practice quiz: Additional Neural Network Concepts
Practice quiz: Additional Neural Network Concepts
Graded
・Quiz
・
30m
Back Propagation (Optional)
Practice Lab: Neural network training
Module 3: Advice for applying machine learning
Advice for applying machine learning
Practice quiz: Advice for applying machine learning
Bias and variance
Practice quiz: Bias and variance
Machine learning development process
Practice quiz: Machine learning development process
Skewed datasets (optional)
Practice Lab: Advice for applying machine learning
Module 4: Decision trees
Decision trees
Practice quiz: Decision trees
Decision tree learning
Practice quiz: Decision tree learning
Tree ensembles
Practice quiz: Tree ensembles
End of Access to Lab Notebooks
Practice Lab: Decision Trees
Conversations with Andrew (Optional)
Acknowledgments
close
Log In to continue learning
Machine Learning Specialization
Join Now
Choose Your Plan
Planning for more users?
Team Plan
Learn More
Keep Current Plan
close
