Ergebnisse für "deep+learning"
DeepLearning.AI
Kompetenzen, die Sie erwerben: Rekurrente Neuronale Netze (RNNs), Einbettungen, Angewandtes maschinelles Lernen, Feinabstimmung, Verarbeitung natürlicher Sprache, Künstliche neuronale Netze, Computer Vision, Tiefes Lernen, Gesicht umarmen, Lernen übertragen, Künstliche Intelligenz, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Überwachtes Lernen, Modellierung großer Sprachen, Transfer Learning, Modell-Optimierung, Modell Ausbildung, Faltungsneuronale Netzwerke, Bildanalyse, Tensorflow, Faltungsneuronale Netze, Generative KI
Illinois Tech
Kompetenzen, die Sie erwerben: Rekurrente Neuronale Netze (RNNs), Generative adversarische Netze (GANs), Netzarchitektur, Verarbeitung natürlicher Sprache, Feinabstimmung, Künstliche neuronale Netze, Computer Vision, Methoden des maschinellen Lernens, Lernen übertragen, Generative Modellarchitekturen, Tiefes Lernen, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Netzwerk-Modell, Transfer Learning, Modell Ausbildung, Modell-Optimierung, Faltungsneuronale Netzwerke, Bildanalyse, Faltungsneuronale Netze, Generative KI
Kompetenzen, die Sie erwerben: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
Kompetenzen, die Sie erwerben: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Configuration Management
Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
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, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis
Was führt Sie heute zu Coursera?
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning
Kompetenzen, die Sie erwerben: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming
Kompetenzen, die Sie erwerben: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing
Pearson
Kompetenzen, die Sie erwerben: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Artificial Neural Networks
Kompetenzen, die Sie erwerben: Rekurrente Neuronale Netze (RNNs), Regressionsanalyse, Verarbeitung natürlicher Sprache, Angewandtes maschinelles Lernen, Künstliche neuronale Netze, Netzarchitektur, Methoden des maschinellen Lernens, Maschinelles Lernen, Lernen übertragen, Tiefes Lernen, Autokodierer, Transfer Learning, Modell-Optimierung, Modell Ausbildung, Auto-Kodierer, Keras (Bibliothek für neuronale Netze), Faltungsneuronale Netzwerke, Bildanalyse, Faltungsneuronale Netze
Illinois Tech
Kompetenzen, die Sie erwerben: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning
Zusammenfassend finden Sie hier 10 unsere beliebtesten deep+learning Kurse
- Tiefes Lernen: DeepLearning.AI
- Tiefes Lernen: Illinois Tech
- Machine Learning and Deep Learning for Software Engineers: Board Infinity
- Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
- Advanced Deep Learning Architectures: Edureka
- AI ML with Deep Learning and Supervised Models: Simplilearn
- Deep Learning with Real-World Projects: Packt
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Modern Deep Learning Foundations: Packt
- Learning Deep Learning: Pearson
