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Results for "training and testing an artificial neural network"
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Image Analysis, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision
- Status: Free Trial
Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric
- Status: NewStatus: Free Trial
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Scalability, Machine Learning, Performance Tuning
- Status: Preview
Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Performance Tuning
LearnQuest
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)
- Status: NewStatus: Free Trial
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Machine Learning Methods, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Predictive Analytics, Regression Analysis, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML)
- Status: Preview
University of Washington
Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics
- Status: Free Trial
Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Network Architecture, Performance Tuning, Medical Imaging
- Status: Free Trial
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing
Skills you'll gain: Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Google Cloud Platform, Cloud Computing, Visualization (Computer Graphics)
- Status: Preview
DeepLearning.AI
Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Performance Tuning, Machine Learning Algorithms, Machine Learning, Numerical Analysis, Network Architecture, Algorithms, Verification And Validation
- Status: Free Trial
Skills you'll gain: Artificial Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Computer Vision, Artificial Intelligence, Machine Learning, Linear Algebra
In summary, here are 10 of our most popular training and testing an artificial neural network courses
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- AI and Machine Learning Algorithms and Techniques: Microsoft
- Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
- Getting Started with Machine Learning at the Edge on Arm: Arm
- Developing AI Applications on Azure: LearnQuest
- AI ML with Deep Learning and Supervised Models: Simplilearn
- Computational Neuroscience: University of Washington
- Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
- Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
- Classify Images with TensorFlow Convolutional Neural Networks: Google Cloud