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  • Autoencoders

Results for "autoencoders"


  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Large Language Modeling, Semantic Web, Vector Databases, Natural Language Processing

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    P

    Packt

    Generative AI with Python

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Agentic systems, AI Workflows, Hugging Face, CrewAI, Embeddings, Transfer Learning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Encoder-Decoder Architecture

    Skills you'll gain: Model Deployment, Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning Methods, Artificial Neural Networks

    4.3
    Rating, 4.3 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Tensorflow, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Generative AI Models and Transformer Networks Certification

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing

    3.4
    Rating, 3.4 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    76 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Intermediate · Specialization · 3 - 6 Months

1234…12

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

  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • Generative AI with Python: Packt
  • Generative Deep Learning with TensorFlow: DeepLearning.AI
  • Encoder-Decoder Architecture: Google Cloud
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Generative AI and Large Language Models: Coursera
  • Generative AI Models and Transformer Networks Certification: Simplilearn
  • Computer Vision: University of Colorado Boulder

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