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Results for "autoencoder"

  • Status: New
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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    AI Agents with LangGraph, Semantic Kernel, and AutoGen

    Skills you'll gain: LangGraph, Generative AI Agents, Agentic systems, LLM Application, Prompt Patterns, OpenAI, Large Language Modeling, Artificial Intelligence, ChatGPT, AI Personalization, Development Environment, Tool Calling, Microsoft Azure, Responsible AI, Microsoft Development Tools, Query Languages, User Interface (UI), Prompt Engineering, Application Development, Natural Language Processing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    39 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    720 reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, OpenAI, Multimodal Prompts, Responsible AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Image Analysis, Application Deployment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    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: New
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    Pearson

    Generative AI for Developers: Unit 1

    Skills you'll gain: Responsible AI, Application Development, Generative AI, Full-Stack Web Development, GitHub, Development Environment, Front-End Web Development, Back-End Web Development, Prompt Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, LLM Application, Prompt Engineering, Deep Learning, Responsible AI, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    267 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment, Deep Learning, Cloud Hosting, Restful API

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    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
    ·
    316 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to autoencoder

introduction course to autoencoders, vaes, and gans
1234…9

In summary, here are 10 of our most popular autoencoder courses

  • Machine Learning, Data Science and Generative AI with Python: Packt
  • AI Agents with LangGraph, Semantic Kernel, and AutoGen: Packt
  • Generative AI Engineering with LLMs: IBM
  • Generative AI and Large Language Models: Coursera
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Programming Generative AI: Unit 2: Pearson
  • Generative AI for Developers: Unit 1: Pearson
  • Generative AI for Developers: Unit 2: Pearson
  • Generative AI: Foundation Models and Platforms: IBM
  • Introduction to Transformer Models for NLP: Unit 3: Pearson

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