Filter by
The language used throughout the course, in both instruction and assessments.
Results for "backpropagation"
University of Washington
Skills you'll gain: Algorithms, Machine Learning, Regression, Machine Learning Algorithms, Applied Machine Learning, Human Learning, Python Programming, Statistical Machine Learning, Mathematics, Data Analysis
Skills you'll gain: Machine Learning, Tensorflow
Coursera Project Network
Skills you'll gain: Machine Learning, Tensorflow
University of Colorado Boulder
Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Python Programming, Probability & Statistics, Statistical Programming, Regression, Data Analysis, Correlation And Dependence, Statistical Analysis
Skills you'll gain: Computer Vision, Deep Learning, Matlab
Imperial College London
Skills you'll gain: Probability & Statistics, Statistical Analysis, Computer Programming, Deep Learning, Tensorflow
Skills you'll gain: Deep Learning
LearnQuest
University of Illinois Urbana-Champaign
Stanford University
Skills you'll gain: Bayesian Network, Probability & Statistics, Probability Distribution, General Statistics, Graph Theory, Bayesian Statistics, Correlation And Dependence, Markov Model, Network Model, Mathematics
In summary, here are 10 of our most popular backpropagation courses
- Machine Learning: Regression:Â University of Washington
- Learn Generative AI with LLMs:Â Edureka
- CNNs with TensorFlow: Basics of Machine Learning:Â Coursera Project Network
- Foundations of Deep Learning and Neural Networks:Â Packt
- Introduction to Machine Learning: Supervised Learning:Â University of Colorado Boulder
- Introduction to Deep Learning for Computer Vision:Â MathWorks
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Deep Learning - Computer Vision for Beginners Using PyTorch:Â Packt
- Building and Training Neural Networks with PyTorch:Â Packt
- Neural Networks and Random Forests:Â LearnQuest
