Neuronale Netze Kurse
Kurse zu neuronalen Netzen können Ihnen helfen zu lernen, wie Modelle aufgebaut, trainiert und optimiert werden. Sie können Fähigkeiten in Architekturdesign, Datenaufbereitung, Trainingstechniken und Modellbewertung aufbauen. Viele Kurse stellen Frameworks und Beispiele aus der KI-Praxis vor.
Beliebte Neuronale Netze Kurse & Zertifikate
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation
Status: Free TrialDeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus
Status: NewStatus: PreviewSkills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Status: Free TrialJohns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
What brings you to Coursera today?
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, 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, Classification Algorithms, Statistical Inference
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Status: Free TrialJohns Hopkins University
Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Markov Model
What brings you to Coursera today?
In summary, here are 10 of our most popular neural network courses
- Introduction to Deep Learning & Neural Networks with Keras:Â IBM
- Neural Networks and Deep Learning:Â DeepLearning.AI
- Apply Neural Networks for Car Price Prediction:Â EDUCBA
- Introduction to Neural Networks and PyTorch:Â IBM
- Deep Learning:Â DeepLearning.AI
- Foundations of Neural Networks:Â Johns Hopkins University
- Practical Machine Learning: Foundations to Neural Networks:Â Dartmouth College
- Convolutional Neural Networks:Â DeepLearning.AI
- Deep Learning with Python: CNN, ANN & RNN:Â EDUCBA
- Deep Learning with PyTorch:Â IBM
