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    Results for "pytorch (bibliothek für maschinelles lernen)"

    • Status: New
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      Pearson

      Programming Generative AI: Unit 1

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Data Manipulation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
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      Pearson

      Learning Deep Learning: Unit 2

      Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
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      Pearson

      Introduction to Transformer Models for NLP: Unit 1

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Artificial Neural Networks, Deep Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Language Modeling with Transformers

      Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      109 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Feature Engineering, Reinforcement Learning, LLM Application, Deep Learning, Generative AI Agents, Applied Machine Learning, Natural Language Processing, Tensorflow, Machine Learning Methods, Scikit Learn (Machine Learning Library), Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
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      Free Trial
      P

      Pearson

      Programming Generative AI: Unit 2

      Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering and Fine-Tuning Transformers

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations and Core Concepts of PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Machine Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
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      E

      Edureka

      Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Data Ethics, Responsible AI, Text Mining, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Artificial Intelligence, Scikit Learn (Machine Learning Library), Time Series Analysis and Forecasting, Machine Learning, Data Analysis, Unstructured Data, Data Cleansing, Applied Machine Learning, Unified Modeling Language

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Prompt Engineering, Artificial Intelligence, Deep Learning, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, LangChain, Large Language Modeling, Prompt Engineering Tools, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Restful API, Multimodal Prompts, Keras (Neural Network Library), ChatGPT, Supervised Learning, Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Jupyter, LLM Application

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    1234…25

    In summary, here are 10 of our most popular pytorch (bibliothek für maschinelles lernen) courses

    • Programming Generative AI: Unit 1: Pearson
    • Python for Data Science, AI & Development: IBM
    • Learning Deep Learning: Unit 2: Pearson
    • Introduction to Transformer Models for NLP: Unit 1: Pearson
    • Generative AI Language Modeling with Transformers: IBM
    • IBM AI Engineering: IBM
    • Programming Generative AI: Unit 2: Pearson
    • Generative AI Engineering and Fine-Tuning Transformers: IBM
    • Foundations and Core Concepts of PyTorch: Packt
    • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka

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