Results for "neural+network+models"
Status: NewStatus: PreviewSkills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)
Status: Free TrialJohns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
Status: NewStatus: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Computer Vision, Model Evaluation, Data Preprocessing
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting
Status: NewStatus: Free TrialSkills you'll gain: Verification And Validation, Data Pipelines
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation
Status: NewStatus: Free TrialSkills you'll gain: Applied Machine Learning, Analysis, Performance Analysis
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Development Methodologies, Model Evaluation, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Performance Improvement
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
In summary, here are 10 of our most popular neural+network+models courses
- Analyze and Build Deep Learning Models with TensorFlow:Â EDUCBA
- Foundations of Neural Networks:Â Johns Hopkins University
- Deep Learning & Modern AI Architectures:Â Packt
- Introduction to Deep Learning & Neural Networks with Keras:Â IBM
- Core generative models and techniques:Â Microsoft
- Automate, Optimize, and Monitor ML Models:Â Coursera
- Deep Learning with PyTorch:Â IBM
- Debug Neural Networks: Analyze Training Dynamics:Â Coursera
- Introduction to Neural Networks and PyTorch:Â IBM
- Optimize Deep Learning: Tune PyTorch Models:Â Coursera
