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Results for "mathematical foundations for deep learning"
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Network Architecture, Data Science, Machine Learning Algorithms, Data Processing, Data Analysis
- Status: Free Trial
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Generative AI, Keras (Neural Network Library), NumPy, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Development Environment, Pandas (Python Package), Image Analysis, Deep Learning, Classification And Regression Tree (CART), Python Programming, Jupyter, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Data Science
- Status: Preview
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning
- Status: Free Trial
University of Pennsylvania
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Data Processing, Artificial Neural Networks, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence
- Status: Preview
Sungkyunkwan University
Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Architecture, Network Model, Machine Learning
- Status: Free Trial
Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Machine Learning Methods, Machine Learning, Supervised Learning, Data Processing, Network Model, Linear Algebra, Network Architecture
- Status: NewStatus: Free Trial
Universidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Artificial Intelligence, Python Programming
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
- Status: Preview
Northeastern University
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra
- Status: Free Trial
Simplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Unsupervised Learning, Emerging Technologies, Digital Transformation
- Status: Free Trial
Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Keras (Neural Network Library), Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics
- Status: Preview
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation
In summary, here are 10 of our most popular mathematical foundations for deep learning courses
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
- Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
- Deep Learning Essentials: University of Pennsylvania
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
- NVIDIA: Fundamentals of Deep Learning: Whizlabs
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- Foundations of Probability and Random Variables: Johns Hopkins University
- Foundations of Statistical Learning & Algorithms: Northeastern University
- AI & Deep Learning Concepts and Applications: Simplilearn