
DeepLearning.AI
Kompetenzen, die Sie erwerben: Modell Ausbildung, Generative KI, Transfer Learning, Künstliche Intelligenz, Überwachtes Lernen, Bildanalyse, Computer Vision, Tensorflow, Verarbeitung natürlicher Sprache, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Modellierung großer Sprachen, Lernen übertragen, Künstliche neuronale Netze, Rekurrente Neuronale Netze (RNNs), Tiefes Lernen, Angewandtes maschinelles Lernen, Modell-Optimierung, Feinabstimmung, Faltungsneuronale Netzwerke, Gesicht umarmen, Einbettungen, Faltungsneuronale Netze
★ 4.8 (147.086) · Mittel · Spezialisierung · 3–6 Monate

Illinois Tech
Kompetenzen, die Sie erwerben: Generative KI, Modell Ausbildung, Transfer Learning, Computer Vision, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Bildanalyse, Netzarchitektur, Verarbeitung natürlicher Sprache, Generative Modellarchitekturen, Künstliche neuronale Netze, Netzwerk-Modell, Lernen übertragen, Rekurrente Neuronale Netze (RNNs), Tiefes Lernen, Modell-Optimierung, Generative adversarische Netze (GANs), Feinabstimmung, Faltungsneuronale Netzwerke, Methoden des maschinellen Lernens, Faltungsneuronale Netze
★ 4.5 (34) · Anfänger · Kurs · 1–3 Monate

Board Infinity
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
Mittel · Spezialisierung · 1–3 Monate

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
Anfänger · Kurs · 1–4 Wochen

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
Fortgeschritten · Spezialisierung · 1–3 Monate

Simplilearn
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
★ 3.9 (11) · Anfänger · Spezialisierung · 1–3 Monate

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
★ 4.3 (7) · Anfänger · Spezialisierung · 3–6 Monate

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
★ 4.6 (47) · Anfänger · Spezialisierung · 1–3 Monate

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
Mittel · Kurs · 1–3 Monate

Board Infinity
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
Mittel · Kurs · 1–4 Wochen

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
Mittel · Spezialisierung · 1–4 Wochen

Kompetenzen, die Sie erwerben: Auto-Kodierer, Modell Ausbildung, Maschinelles Lernen, Transfer Learning, Bildanalyse, Keras (Bibliothek für neuronale Netze), Autokodierer, Verarbeitung natürlicher Sprache, Netzarchitektur, Künstliche neuronale Netze, Lernen übertragen, Rekurrente Neuronale Netze (RNNs), Regressionsanalyse, Tiefes Lernen, Angewandtes maschinelles Lernen, Modell-Optimierung, Faltungsneuronale Netzwerke, Methoden des maschinellen Lernens, Faltungsneuronale Netze
★ 4.7 (2108) · Mittel · Kurs · 1–3 Monate