Deep Learning Kurse
Deep-Learning-Kurse können Ihnen helfen zu lernen, wie neuronale Netze aufgebaut, trainiert und bewertet werden. Sie können Fähigkeiten in Modellarchitekturen, Optimierung, Datenaufbereitung und Evaluationsmethoden aufbauen. Viele Kurse stellen Frameworks und Tools vor, die das Experimentieren mit tiefen Modellen unterstützen.
Beliebte Deep Learning Kurse & Zertifikate
Status: NeuStatus: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Generative AI, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Graphics, Machine Learning, Image Analysis, Data Synthesis, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Modeling, Mathematical Modeling
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, Natural Language Processing, Artificial Neural Networks, Machine Learning Methods
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Multimodal Prompts, Generative AI, Generative Model Architectures, Image Analysis, Prompt Engineering, Image Quality, Computer Vision, Deep Learning, Natural Language Processing, Performance Tuning
Status: VorschauKompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Data Processing, Artificial Neural Networks, Data Cleansing, Data Transformation, Machine Learning, Application Programming Interface (API)
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Generative Model Architectures, Tensorflow, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Machine Learning
Status: VorschauKompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Applied Machine Learning, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Machine Learning Methods, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Text Mining, Performance Tuning, Natural Language Processing
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Deep Learning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks
- Status: Vorschau
Google Cloud
Kompetenzen, die Sie erwerben: Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing
Status: VorschauGoogle Cloud
Kompetenzen, die Sie erwerben: Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow
Zusammenfassend finden Sie hier 10 unsere beliebtesten deep learning Kurse
- Machine Learning with Small Data Part 2: Northeastern University
- Encoder-Decoder Architecture - Bahasa Indonesia: Google Cloud
- Programming Generative AI: Unit 3: Pearson
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Attention Mechanism - Español: Google Cloud
- Encoder-Decoder Architecture - Español: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
- Attention Mechanism - 简体中文: Google Cloud
- Introduction to Transformer Models for NLP: Unit 3: Pearson
- Encoder-Decoder Architecture - 한국어: Google Cloud
