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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 Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Model Training, Algorithms, Pseudocode, Linear Algebra, Network Architecture, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    848 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    549 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Model Optimization, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Model Training, Embeddings, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Systems Development, Solution Architecture, Machine Learning Methods, Model Training, Model Evaluation, Agentic systems, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Feature Engineering, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    653 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies

    Skills you'll gain: Cloud Computing Architecture, Wireless Networks, Cloud Technologies, Cloud Computing, Cloud Services, Internet Of Things, Cloud Platforms, Local Area Networks, Emerging Technologies, Computing Platforms, Network Architecture, Telecommunications, Amazon Web Services, Cloud-Based Integration, General Networking, Infrastructure As A Service (IaaS), Infrastructure Architecture, Hardware Architecture, Network Infrastructure, Network Protocols

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Generative AI for Developers

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, AI Workflows, AI literacy, Artificial Intelligence, Object Oriented Programming (OOP), Software Technical Review, Risking, Machine Learning Methods, Artificial Neural Networks, Data Preprocessing, AI powered creativity, Debugging, Problem Solving, Critical Thinking, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    232 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Model Training, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    228 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Applied Machine Learning, Python Programming, Machine Learning, Automation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    265 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Visual Perception

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Machine Learning Methods, Graph Theory, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    35 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Visualizing Filters of a CNN using TensorFlow

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Applied Machine Learning, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    84 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    28 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Prediction and Control with Function Approximation: University of Alberta
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
  • Vision & Audio AI Systems: Coursera
  • A Complete Reinforcement Learning System (Capstone): University of Alberta
  • IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies: Yonsei University
  • Generative AI for Developers: Fractal Analytics
  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Fake News Detection with Machine Learning: Coursera
  • Visual Perception: Columbia University

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