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Results for "autoencoders"


  • N

    National Taiwan University

    人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Theoretical Computer Science, Classification Algorithms, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Statistical Machine Learning, Computer Science, Decision Tree Learning, Generative Adversarial Networks (GANs), Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    Foundations of Generative AI Models

    Skills you'll gain: Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Generative Adversarial Networks (GANs), Autoencoders, Model Training, Model Evaluation, Large Language Modeling, Real Time Data, Scalability, Responsible AI

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Coding and Automation for Data Analysis with Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Data Pipelines, Responsible AI, Data Processing, AI Workflows, Data Analysis, AI Integrations, Automation, SQL, Data Cleansing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Generative Model Architectures, Big Data, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Large Language Modeling, Customer Data Management, AI literacy, Autoencoders, Model Optimization, Deep Learning, Model Evaluation, Algorithms, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    299 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Fine-tuning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Decision Intelligence, Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Machine Learning, Business Metrics, Predictive Analytics, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Create Image Captioning Models

    Skills you'll gain: Image Analysis, Generative Model Architectures, Model Training, Deep Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Encoder-Decoder Architecture - Français

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Training, Generative Model Architectures, Generative AI, Deep Learning, Machine Learning Methods

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Fine-tuning, Embeddings, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Data Preprocessing, Model Optimization, Model Training

    Intermediate · Course · 1 - 4 Weeks

1…567…12

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

  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
  • Foundations of Generative AI Models: Simplilearn
  • Core generative models and techniques: Microsoft
  • Coding and Automation for Data Analysis with Generative AI: Microsoft
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Deep Learning and Reinforcement Learning: IBM
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Automate, Analyze, and AI Feedback: Coursera
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Create Image Captioning Models: Google Cloud

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