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: 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: 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
Johns Hopkins University
Kompetenzen, die Sie erwerben: R Programmierung, Statistik, Bildqualität, Datenmanipulation, Anatomie, Experimentieren, Datenanalyse, Erweiterte Analytik, Neurologie, Statistische Methoden, Bildanalyse, Statistische Analyse, Laborforschung, Medizinische Bildgebung, R (Software), Radiologie, Magnetresonanztomographie, Korrelationsanalyse, Diagnostische Radiologie, Forschungsdesign
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: 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
Was führt Sie heute zu Coursera?
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: Faltungsneuronale Netze, Regressionsanalyse, Keras (Bibliothek für neuronale Netze), Modell-Optimierung, Maschinelles Lernen, Auto-Kodierer, Modell Ausbildung, Tiefes Lernen, Bildanalyse, Rekurrente Neuronale Netze (RNNs), Angewandtes maschinelles Lernen, Methoden des maschinellen Lernens, Netzarchitektur, Verarbeitung natürlicher Sprache, Künstliche neuronale Netze, Lernen übertragen, Autokodierer, Faltungsneuronale Netzwerke, Transfer Learning
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
DeepLearning.AI
Kompetenzen, die Sie erwerben: Feinabstimmung, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Faltungsneuronale Netze, Generative KI, Modell-Optimierung, Überwachtes Lernen, Künstliche Intelligenz, Tiefes Lernen, Modell Ausbildung, Modellierung großer Sprachen, Bildanalyse, Angewandtes maschinelles Lernen, Rekurrente Neuronale Netze (RNNs), Tensorflow, Verarbeitung natürlicher Sprache, Lernen übertragen, Künstliche neuronale Netze, Einbettungen, Gesicht umarmen, Computer Vision, Faltungsneuronale Netzwerke, Transfer Learning
Kompetenzen, die Sie erwerben: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Embeddings, Data Processing, Machine Learning, Data Analysis, Data Cleansing
Zusammenfassend finden Sie hier 10 unsere beliebtesten neural+network Kurse
- Foundations of Neural Networks: Johns Hopkins University
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Neural Networks and Computer Vision Foundations: Edureka
- Neurowissenschaften und Neuroimaging: Johns Hopkins University
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
- Einführung in Deep Learning & Neuronale Netze mit Keras: IBM
- Advanced Deep Learning Architectures: Edureka
- Advanced Machine Learning, Neural Networks, and NLP: John Wiley & Sons
