Ergebnisse für "neural+network"
John Wiley & Sons
Kompetenzen, die Sie erwerben: Supervised Learning, Machine Learning Methods, Image Analysis, Statistical Machine Learning, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Text Mining, Decision Tree Learning, Advanced Analytics, Convolutional Neural Networks, Model Optimization, Data Science, Data Processing, Logistic Regression
Johns Hopkins University
Kompetenzen, die Sie erwerben: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised 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
Dartmouth College
Kompetenzen, die Sie erwerben: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Kompetenzen, die Sie erwerben: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science
DeepLearning.AI
Kompetenzen, die Sie erwerben: Feinabstimmung, Modell Ausbildung, Modell-Optimierung, Tiefes Lernen, Transfer Learning, Einbettungen, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Generative KI, Verarbeitung natürlicher Sprache, Tensorflow, Lernen übertragen, Faltungsneuronale Netzwerke, Computer Vision, Künstliche Intelligenz, Bildanalyse, Modellierung großer Sprachen, Überwachtes Lernen, Gesicht umarmen, Künstliche neuronale Netze, Faltungsneuronale Netze, Rekurrente Neuronale Netze (RNNs), Angewandtes maschinelles Lernen
Was führt Sie heute zu Coursera?
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: Modell-Optimierung, Modell Ausbildung, Transfer Learning, Tiefes Lernen, Methoden des maschinellen Lernens, Autokodierer, Regressionsanalyse, Netzarchitektur, Verarbeitung natürlicher Sprache, Maschinelles Lernen, Lernen übertragen, Faltungsneuronale Netzwerke, Auto-Kodierer, Bildanalyse, Faltungsneuronale Netze, Künstliche neuronale Netze, Rekurrente Neuronale Netze (RNNs), Angewandtes maschinelles Lernen, Keras (Bibliothek für neuronale Netze)
Kompetenzen, die Sie erwerben: Modell-Optimierung, Modell Ausbildung, Logistische Regression, Regressionsanalyse, Datenverarbeitung, Statistische Methoden, Wahrscheinlichkeitsrechnung und Statistik, Tensorflow, PyTorch (Bibliothek für maschinelles Lernen), Bewertung des Modells, Prädiktive Modellierung, Angewandtes maschinelles Lernen, Künstliche neuronale Netze, Modellevaluation
Kompetenzen, die Sie erwerben: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture
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
Zusammenfassend finden Sie hier 10 unsere beliebtesten neural+network Kurse
- Advanced Machine Learning, Neural Networks, and NLP: John Wiley & Sons
- Foundations of Neural Networks: Johns Hopkins University
- Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- Neural Networks and Computer Vision Foundations: Edureka
- Tiefes Lernen: DeepLearning.AI
- Advanced Deep Learning Architectures: Edureka
- Einführung in Deep Learning & Neuronale Netze mit Keras: IBM
- Einführung in Neuronale Netze und PyTorch: IBM
- Start Neural Networks Advanced Model Architectures: Coursera
