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  • Sequence To Sequence Model

Results for "sequence-to-sequence+model"


  • W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    ★ 4.7 (7) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Model Optimization, Machine Learning, Computer Vision

    ★ 4.7 (78) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Optimization, Model Deployment, AI Workflows, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Version Control

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Encoder-Decoder Architecture - 简体中文

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Generative Model Architectures, Model Deployment, Model Training, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Embedding Models: From Architecture to Implementation

    Skills you'll gain: Embeddings, Retrieval-Augmented Generation, Model Training, Large Language Modeling, Natural Language Processing

    ★ 5 (7) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • E

    Edureka

    RAG Systems in Practice

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LangChain, Performance Tuning, Application Deployment, AI Workflows, AI Integrations, Generative AI, LLM Application, LangGraph, Embeddings, Large Language Modeling, Context Management, Performance Testing, Vector Databases, Data Preprocessing, Scalability, Model Evaluation, Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning

    ★ 4.4 (50) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • S

    Scrimba

    Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Development Environment, OpenAI API, AI Integrations, Large Language Modeling, Database Management Systems, Databases, OpenAI, Artificial Intelligence, System Configuration

    ★ 4.7 (63) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Generative AI, Fine-tuning, Computer Vision, Image Analysis, Generative Model Architectures, Natural Language Processing, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Alberta Machine Intelligence Institute

    Generative AI for Audio and Images: Models and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), AI powered creativity, Autoencoders, Convolutional Neural Networks, Model Training, Responsible AI, Computer Vision, Music, Digital Signal Processing

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • S

    Stanford University

    Introduction to Logic

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Problem Solving, Mathematics and Mathematical Modeling, Business Logic

    ★ 4.4 (655) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Pearson

    Programming Generative AI: Unit 3

    Skills you'll gain: Multimodal Prompts, Fine-tuning, Generative AI, Model Evaluation, Generative Model Architectures, Image Analysis, Embeddings, Model Training, Model Optimization

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…834

In summary, here are 10 of our most popular sequence-to-sequence+model courses

  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
  • Creating Multi Task Models With Keras: Coursera
  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Encoder-Decoder Architecture - 简体中文: Google Cloud
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • RAG Systems in Practice: Edureka
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
  • Introduction to Transformer Models for NLP: Unit 3: Pearson
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute

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