Ergebnisse für "neural+network"
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: Transfer Learning, Modell-Optimierung, Maschinelles Lernen, Autokodierer, Methoden des maschinellen Lernens, Tiefes Lernen, Regressionsanalyse, Verarbeitung natürlicher Sprache, Modell Ausbildung, Faltungsneuronale Netze, Auto-Kodierer, Lernen übertragen, Faltungsneuronale Netzwerke, Künstliche neuronale Netze, Angewandtes maschinelles Lernen, Netzarchitektur, Rekurrente Neuronale Netze (RNNs), Keras (Bibliothek für neuronale Netze), Bildanalyse
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: 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
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
Johns Hopkins University
Kompetenzen, die Sie erwerben: Experimentieren, R Programmierung, Bildqualität, Statistische Methoden, Statistik, Statistische Analyse, Datenmanipulation, Radiologie, Medizinische Bildgebung, Diagnostische Radiologie, Magnetresonanztomographie, Forschungsdesign, Korrelationsanalyse, R (Software), Erweiterte Analytik, Laborforschung, Datenanalyse, Bildanalyse, Anatomie, Neurologie
Was führt Sie heute zu Coursera?
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: 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
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
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: Modell-Optimierung, Maschinelles Lernen, Tiefes Lernen, Statistische Methoden, Regressionsanalyse, Wahrscheinlichkeitsrechnung und Statistik, Überwachtes Lernen, Modellevaluation, Modell Ausbildung, Logistische Regression, Bewertung des Modells, Datenverarbeitung, Angewandtes maschinelles Lernen, Tensorflow, PyTorch (Bibliothek für maschinelles Lernen), Künstliche neuronale Netze, Prädiktive Analytik, Prädiktive Modellierung, Vorverarbeitung von Daten, Klassifizierungsalgorithmen, Datenvorverarbeitung
Kompetenzen, die Sie erwerben: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Large Language Modeling, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture
Zusammenfassend finden Sie hier 10 unsere beliebtesten neural+network Kurse
- Foundations of Neural Networks: Johns Hopkins University
- Einführung in Deep Learning & Neuronale Netze mit Keras: IBM
- Start Neural Networks Advanced Model Architectures: Coursera
- Neural Networks and Computer Vision Foundations: Edureka
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Neurowissenschaften und Neuroimaging: Johns Hopkins University
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- Advanced Deep Learning Architectures: Edureka
- Advanced Machine Learning, Neural Networks, and NLP: John Wiley & Sons
- Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
