Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "pytorch (machine learning library)"
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation
- Status: Free TrialStatus: AI skills
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Image Analysis, Artificial Intelligence, Program Development, Process Driven Development, Computer Vision, Software Development Life Cycle, Regression Analysis, Time Series Analysis and Forecasting, Network Architecture, Network Model
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Coursera Project Network
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Deep Learning, Python Programming
- Status: NewStatus: Free Trial
Skills you'll gain: Generative AI, Supervised Learning, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Data Collection, Data Cleansing, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, ChatGPT, Network Model, Network Architecture, Performance Tuning
What brings you to Coursera today?
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter
- Status: Free Trial
Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management
- Status: Free Trial
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering
- Status: Free Trial
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Artificial Neural Networks, Application Development, Deep Learning, Applied Machine Learning, Performance Tuning, Semantic Web, Reinforcement Learning
- Status: Free Trial
Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Generative AI, Artificial Neural Networks, Computer Vision, Image Analysis, Machine Learning, Machine Learning Methods, Graph Theory, Supervised Learning, Artificial Intelligence, Dimensionality Reduction, Text Mining, Unsupervised Learning, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Google Cloud Platform, Data Processing
- Status: Free TrialStatus: AI skills
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Statistical Analysis, Artificial Intelligence, Artificial Neural Networks, Algorithms
In summary, here are 10 of our most popular pytorch (machine learning library) courses
- Deep Learning with PyTorch:Â IBM
- Introduction to Neural Networks and PyTorch:Â IBM
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Calculus for Machine Learning and Data Science:Â DeepLearning.AI
- Aerial Image Segmentation with PyTorch :Â Coursera Project Network
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Python for Data Science, AI & Development:Â IBM
- Machine Learning:Â DeepLearning.AI
- Generative AI Engineering with LLMs:Â IBM