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Results for "autoencoders"


  • I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)

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    4.7
    Rating, 4.7 out of 5 stars
    ·
    442 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

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    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Packt

    Generative AI-Powered Assistant for Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AWS SageMaker, Generative AI Agents, AI Integrations, Amazon Web Services, Infrastructure as Code (IaC), AI Security, AI Enablement, Generative AI, DevOps, IT Automation, AI Personalization, AWS CloudFormation, AI Workflows, Computer Programming, Computer Programming Tools, Artificial Intelligence, Autoencoders, Building Codes

    Coursera Plus

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    Beginner · Specialization · 3 - 6 Months

  • I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing

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    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    Edureka

    Generative AI for Software Engineers & Developers

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Gemini, Model Deployment, Generative AI Agents, GitHub Copilot, Generative Adversarial Networks (GANs), Google Gemini, Vibe coding, Responsible AI, Performance Tuning, Code Review, Software Engineering, Artificial Intelligence, AI Personalization, Software Development, Software Quality Assurance, Debugging, Automation

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    4.1
    Rating, 4.1 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

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    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Fine-tuning, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Prompt Engineering, Model Training, Image Quality

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    Intermediate · Specialization · 1 - 4 Weeks

  • Status: New
    New
    E

    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence

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    Advanced · Specialization · 1 - 3 Months

  • P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms

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    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing

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    4.5
    Rating, 4.5 out of 5 stars
    ·
    151 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Large Language Modeling, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture

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    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    J

    John Wiley & Sons

    Generative AI for Trading and Asset Management

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Large Language Modeling, Financial Trading, Applied Machine Learning, Financial Market, Asset Management, Machine Learning Methods, Autoencoders, LLM Application, Statistical Machine Learning, Machine Learning, Portfolio Management, Model Optimization, Deep Learning, Dimensionality Reduction, Artificial Intelligence, Financial Analysis, Risk Management

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    Intermediate · Course · 1 - 3 Months

1234…12

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

  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Foundations of Neural Networks: Johns Hopkins University
  • Generative AI-Powered Assistant for Developers: Packt
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Generative AI for Software Engineers & Developers: Edureka
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Programming Generative AI: Pearson
  • Advanced Deep Learning Architectures: Edureka
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Generative AI Language Modeling with Transformers: IBM

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