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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 Trial
    Free Trial
    U

    University of Glasgow

    6G Deployment: Testbeds, Antenna Systems & Digital Twins

    Skills you'll gain: Wireless Networks, Healthcare 5.0, Emerging Technologies, Communication Systems, Digital Communications, AI Enablement, Internet Of Things, Telecommunications, electromagnetics, Network Architecture, Software-Defined Networking, Zero Trust Network Access, Digital Transformation, Electronics Engineering, Distributed Computing, Electrical Engineering, Artificial Intelligence and Machine Learning (AI/ML), Information Technology, Machine Learning, Trustworthiness

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep DP-100: Microsoft Azure Data Scientist Associate

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Geliştiriciler için Üretken Yapay Zeka

    Skills you'll gain: Responsible AI, Prompt Engineering, AI Security, Google Gemini, Gemini, Generative AI, Embeddings, Multimodal Prompts, AI Product Strategy, Model Deployment, Vector Databases, Keras (Neural Network Library), Generative Model Architectures, Cloud Security, Data Ethics, Tensorflow, Image Analysis, Natural Language Processing, Recurrent Neural Networks (RNNs), Machine Learning

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Model Evaluation, Model Training, Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, R (Software), Statistical Modeling, R Programming, Supervised Learning, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Production Machine Learning Systems - Español

    Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Model Training, Tensorflow, Model Optimization, Systems Architecture, Performance Tuning, Software Architecture, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Data Processing, Debugging, Dependency Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Continuous Deployment, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Modern Graph Theory Algorithms with Python

    Skills you'll gain: Graph Theory, Network Analysis, Network Model, Social Network Analysis, NoSQL, Data Store, Data Science, Query Languages, Visualization (Computer Graphics), Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms, Quantum computing

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning for Smart Beta

    Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Machine Learning Methods, Classification And Regression Tree (CART), Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Model Optimization, Asset Management, Statistical Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Fundamentos de Inteligência Artifical em Marketing

    Skills you'll gain: Data-Driven Marketing, Customer experience improvement, Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Marketing, Data-Driven Decision-Making, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Digital Marketing, Customer Engagement, Machine Learning Algorithms, Machine Learning, Innovation, Brand Strategy, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AI Engineering and Deployment

    Skills you'll gain: Model Deployment, Tensorflow, Generative AI Agents, Recurrent Neural Networks (RNNs), BeeAI, Transfer Learning, Deep Learning, Convolutional Neural Networks, AI Orchestration, Application Deployment, Artificial Neural Networks, Responsible AI, Agentic Workflows, Agentic systems, Data Ethics, Model Training, Scalability, Model Optimization, Applied Machine Learning, Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular neural network courses

  • 6G Deployment: Testbeds, Antenna Systems & Digital Twins: University of Glasgow
  • Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
  • GeliÅŸtiriciler için Üretken Yapay Zeka: Google Cloud
  • Decision Tree Classifier for Beginners in R: Coursera
  • Production Machine Learning Systems - Español: Google Cloud
  • Java in Machine Learning: Board Infinity
  • Modern Graph Theory Algorithms with Python: Packt
  • Machine Learning for Smart Beta: Sungkyunkwan University
  • Fundamentos de Inteligência Artifical em Marketing: Fundação Instituto de Administração
  • AI Engineering and Deployment: Packt

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