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  • Autoencoder

Results for "autoencoder"


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Deep Learning, Machine Learning, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Healthcare Project Management, Medical Science and Research, Unsupervised Learning, Convolutional Neural Networks, Program Development

    3
    Rating, 3 out of 5 stars
    ·
    29 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    186 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Cloud Deployment, Tensorflow, Image Analysis, Data Preprocessing, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Data Analysis, Pandas (Python Package), Software Documentation, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Applied Machine Learning, Generative Adversarial Networks (GANs), Healthcare Project Management, Machine Learning Methods, Image Analysis, Graph Theory, Artificial Neural Networks, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Predictive Modeling, Unsupervised Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - Français

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

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Create Image Captioning Models

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Tensorflow, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - Português Brasileiro

    Skills you'll gain: Keras (Neural Network Library), Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Applied Machine Learning

    Advanced · Course · 1 - 4 Weeks

1234…9

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

  • Health Data Science Foundation: University of Illinois Urbana-Champaign
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • AutoML: Build ML Models without Code: Edureka
  • Core generative models and techniques: Microsoft
  • Generative AI for Developers: Unit 2: Pearson
  • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Generative AI with Large Language Models: DeepLearning.AI
  • Encoder-Decoder Architecture - Français: Google Cloud

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