Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "mathematical foundations for deep learning"
Status: Free TrialJohns Hopkins University
Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Data Ethics, Artificial Intelligence, Machine Learning, Markov Model, Natural Language Processing
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Processing
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Deep Learning, Tensorflow, Image Analysis, Applied Machine Learning, Computer Vision, Artificial Neural Networks, Unsupervised Learning
Status: NewStatus: Free TrialBoard Infinity
Skills you'll gain: Decision Tree Learning, Regression Analysis, Debugging
Status: NewStatus: PreviewKorea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning
Status: Free TrialSkills you'll gain: Shiny (R Package), Deep Learning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification And Regression Tree (CART), Unsupervised Learning, Application Frameworks, Predictive Modeling, Regression Analysis, Dimensionality Reduction, Network Architecture, Time Series Analysis and Forecasting, Data Processing
Status: NewSkills you'll gain: Calculus, Applied Mathematics, NumPy, Applied Machine Learning, Tensorflow, Machine Learning, Python Programming, Derivatives, Algorithms, Development Environment
Status: Free TrialSkills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Jupyter, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning
Status: NewSkills you'll gain: Deep Learning, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods
Status: NewStatus: Free TrialSkills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Statistics, Data Science, Statistical Analysis, NumPy, Machine Learning, Programming Principles, Probability
Status: FreeDeepLearning.AI
Skills you'll gain: Generative AI, Large Language Modeling, Performance Tuning, PyTorch (Machine Learning Library), Applied Machine Learning
Coursera Project Network
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Adaptability, Problem Solving
In summary, here are 10 of our most popular mathematical foundations for deep learning courses
- Advanced Neural Network Techniques: Johns Hopkins University
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
- Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
- Machine Learning Fundamentals for Java Developers: Board Infinity
- Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
- Advanced Machine Learning and Deep Learning: Packt
- Matrix Calculus for Data Science & Machine Learning: Packt
- Fundamentals of AI, Machine Learning, and Python Programming: Packt
- Natural Language Processing - Deep Learning Models in Python: Packt
- Foundations of ML & Python for Data Science: Packt
