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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


  • P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Text Mining, Classification Algorithms, Model Training

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture, Model Training

    Advanced · Course · 1 - 3 Months

  • L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Model Optimization, Keras (Neural Network Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Methods, Applied Machine Learning, Predictive Modeling, Fine-tuning, Scikit Learn (Machine Learning Library), Regression Analysis, Classification Algorithms, Python Programming

    3.2
    Rating, 3.2 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Debug Neural Networks: Analyze Training Dynamics

    Skills you'll gain: Model Training, Applied Machine Learning, Model Optimization, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    92 reviews

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced RNN Concepts and Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Natural Language Processing, Model Training, Model Evaluation, Data Preprocessing

    Advanced · Course · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Introduction to CNN Training

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Training

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Statistical Visualization, R (Software), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Wrangling, Data Manipulation, Machine Learning Methods, Model Training

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Training, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • S

    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Model Training, Artificial Intelligence, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

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

  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Neural Networks and Random Forests: LearnQuest
  • Debug Neural Networks: Analyze Training Dynamics: Coursera
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Advanced RNN Concepts and Projects: Packt
  • Learning Deep Learning: Unit 2: Pearson
  • Introduction to CNN Training: Simplilearn
  • Deep Learning with R: Build & Predict Neural Networks: EDUCBA
  • Neuronale Netze und Deep Learning: DeepLearning.AI

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