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Results for "convolutional neural networks (cnns)"
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Artificial Intelligence
Status: Free TrialStatus: AI skillsSkills 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 TrialJohns Hopkins University
Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics
Status: NewPearson
Skills you'll gain:
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Linear Algebra, Markov Model, Data-Driven Decision-Making, Natural Language Processing
Status: PreviewSungkyunkwan 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 TrialSkills 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 TrialSkills 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 TrialDeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Performance Tuning, Calculus
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, OpenAI, ChatGPT, Deep Learning, Real Time Data, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Applied Machine Learning, Computer Vision, Emerging Technologies, Data Ethics, Machine Learning Methods, Unsupervised Learning, Natural Language Processing
In summary, here are 10 of our most popular convolutional neural networks (cnns) courses
- Introduction to Deep Learning & Neural Networks with Keras: IBM
- Convolutional Neural Networks: DeepLearning.AI
- Deep Learning for Computer Vision: University of Colorado Boulder
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Introduction to Neural Networks: Johns Hopkins University
- Learning Deep Learning: Pearson
- Foundations of Neural Networks: Johns Hopkins University
- Fundamentals of CNNs and RNNs: Sungkyunkwan University
- Deep Learning with PyTorch: IBM
- Introduction to Neural Networks and PyTorch: IBM
