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Erkunden Sie den Robotics-Kurskatalog
Coursera Project Network
Kompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
DeepLearning.AI
Kompetenzen, die Sie erwerben: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Statistical Analysis, Machine Learning Algorithms, Machine Learning, Network Architecture, Algorithms
Status: NeuUniversity of Colorado Boulder
Kompetenzen, die Sie erwerben: Natural Language Processing, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Generative AI, Network Model, Tensorflow, Network Architecture, Artificial Intelligence, Machine Learning Algorithms, Python Programming, Machine Learning
Status: NeuStatus: KostenlosNortheastern University
Kompetenzen, die Sie erwerben: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction
Kompetenzen, die Sie erwerben: Matplotlib, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Data Visualization Software, Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Jupyter, Python Programming, Network Architecture
Kompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Pipelines, Application Deployment, Cloud Computing, Applied Machine Learning, Artificial Neural Networks, Machine Learning, Data Transformation
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Natural Language Processing
Status: NeuNortheastern University
Kompetenzen, die Sie erwerben: Generative AI, Artificial Neural Networks, Deep Learning, Bayesian Network, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Machine Learning Algorithms, Computer Vision, Applied Mathematics, Statistical Methods, Machine Learning, Network Architecture, Probability Distribution
Status: KostenlosDeepLearning.AI
Kompetenzen, die Sie erwerben: Artificial Neural Networks, Deep Learning, Semantic Web, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Artificial Intelligence, Machine Learning
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Computer Vision, Image Analysis, Matplotlib, Python Programming, Deep Learning, Pandas (Python Package), NumPy, Data Manipulation, Artificial Neural Networks
Kompetenzen, die Sie erwerben: Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Computer Vision, Jupyter, Machine Learning, Matplotlib, NumPy
Universidad de los Andes
Kompetenzen, die Sie erwerben: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Unsupervised Learning, Machine Learning
Zusammenfassend finden Sie hier 10 unsere beliebtesten robotics Kurse
- Deep-Dive into Tensorflow Activation Functions: Coursera Project Network
- 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
- Deep Learning for Natural Language Processing: University of Colorado Boulder
- Machine Learning for Engineers: Algorithms and Applications: Northeastern University
- Deep Learning with Real-World Projects: Packt
- Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
- Introduction to RNN and DNN: Packt
- Generative AI: Foundations and Concepts: Northeastern University
- Embedding Models: From Architecture to Implementation: DeepLearning.AI
- Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
