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Results for "autoencoders"


  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Harnessing LLMs & Text-Embeddings API with Google Vertex AI

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Google Cloud Platform, Embeddings, Cloud API, Application Programming Interface (API), Unsupervised Learning, Natural Language Processing, Classification Algorithms, Development Environment, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Craft an AutoGPT Gen AI Instrument with Rust & GPT-4

    Skills you'll gain: Rust (Programming Language), ChatGPT, Authentications, Generative AI Agents, Back-End Web Development, Web Servers, OpenAI API, AI Orchestration, Web Frameworks, Databases, Server Side, Web Applications, Agentic Workflows, AI Integrations, Command-Line Interface, AI Workflows, Package and Software Management, Agentic systems, Memory Management, Development Environment

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Identify Damaged Car Parts with Vertex AutoML Vision

    Skills you'll gain: Model Evaluation, Model Training, Applied Machine Learning, Google Cloud Platform, Image Analysis, Model Deployment, Computer Vision, Machine Learning, Predictive Analytics, Cloud Storage, Cloud API

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

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

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis

    Intermediate · 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, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    205 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Generative AI for Code Efficiency and Auto-Generation

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI Agents, Generative AI, AI Personalization, Code Review, Integrated Development Environments, LLM Application, Maintainability, AI Integrations, AI Workflows, Artificial Intelligence, Computer Programming, AWS CloudFormation, C++ (Programming Language), SQL, PHP (Scripting Language), C (Programming Language), Airway Management, Building Codes

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Generative Model Architectures, Machine Learning Methods, Model Training, Network Architecture

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Practical Machine Learning on H2O: H2O.ai
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Machine Learning with Small Data Part 2: Northeastern University
  • Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Packt
  • Building and Training Neural Networks with PyTorch: Packt
  • Craft an AutoGPT Gen AI Instrument with Rust & GPT-4: Packt
  • Identify Damaged Car Parts with Vertex AutoML Vision: Google Cloud
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Generative AI for Code Efficiency and Auto-Generation: Packt

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