Ergebnisse für "deep+learning"
DeepLearning.AI
Kompetenzen, die Sie erwerben: Modellierung großer Sprachen, Transfer Learning, Verarbeitung natürlicher Sprache, Computervision, Maschinelles Lernen, MLOps (Maschinelles Lernen Operations), Überwachtes Lernen, Künstliche neuronale Netze, Tensorflow, Einbettungen, Faltungsneuronale Netze, Keras (Bibliothek für Neuronale Netze), Fehlersuche, Tiefes Lernen, Deep Learning, Faltungsneuronale Netzwerke, PyTorch (Bibliothek für Maschinelles Lernen), Angewandtes maschinelles Lernen, Leistungsoptimierung, Rekurrente Neuronale Netze (RNNs), Lernen übertragen, Bildanalyse, Computer Vision, Umarmendes Gesicht
Illinois Tech
Kompetenzen, die Sie erwerben: Generative KI, Modell Bewertung, Verarbeitung natürlicher Sprache, Computervision, Transfer Learning, Netzwerk Architektur, Künstliche neuronale Netze, Künstliche Intelligenz und Maschinelles Lernen (KI/ML), Faltungsneuronale Netze, Tiefes Lernen, Keras (Bibliothek für Neuronale Netze), Generative adversarische Netze (GANs), Generative adversarische Netzwerke (GANs), Faltungsneuronale Netzwerke, Modellevaluation, PyTorch (Bibliothek für Maschinelles Lernen), Modell-Bereitstellung, Deep Learning, Bildanalyse, Rekurrente Neuronale Netze (RNNs), Lernen übertragen, Computer Vision
Coursera
Kompetenzen, die Sie erwerben: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision
Kompetenzen, die Sie erwerben: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Kompetenzen, die Sie erwerben: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
Was führt Sie heute zu Coursera?
Kompetenzen, die Sie erwerben: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Status: Heiße NeuerscheinungDeepLearning.AI
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning
Kompetenzen, die Sie erwerben: Verarbeitung natürlicher Sprache, Modell Bewertung, Transfer Learning, Auto-Kodierer, Netzwerk Architektur, Maschinelles Lernen, Künstliche neuronale Netze, Keras (Bibliothek für Neuronale Netze), Tiefes Lernen, Faltungsneuronale Netze, Regressionsanalyse, Autokodierer, Faltungsneuronale Netzwerke, Modellevaluation, Angewandtes maschinelles Lernen, Deep Learning, Bildanalyse, Rekurrente Neuronale Netze (RNNs), Lernen übertragen, Klassifizierungs- und Regressionsbaum (CART)
Kompetenzen, die Sie erwerben: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning
Kompetenzen, die Sie erwerben: 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
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling
Zusammenfassend finden Sie hier 10 unsere beliebtesten deep+learning Kurse
- Deep Learning: DeepLearning.AI
- Deep Learning: Illinois Tech
- Deep Learning Engineering: Coursera
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Become AI-Ready: Deep Learning Fundamentals: LearnKartS
- Deep Learning with Real-World Projects: Packt
- AI ML with Deep Learning and Supervised Models: Simplilearn
- PyTorch for Deep Learning: DeepLearning.AI
- Einführung in Deep Learning & Neuronale Netze mit Keras: IBM
- Deep Learning and Advanced Techniques: Packt
