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  • Word 2 Vec Model

Results for "word2vec+model"


  • E

    Edureka

    Introduction to LLMs and Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, AI Integrations, Token Optimization, Responsible AI, Fine-tuning, Embeddings, Application Programming Interface (API), Data Pipelines, Restful API, Agentic systems, Open Source Technology, MLOps (Machine Learning Operations), Python Programming

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    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
  • 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
  • P

    Packt

    Sequence Modeling, Transformers, and Transfer Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: Fine-tuning, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, LLM Application, Generative Model Architectures

    Intermediate · Course · 1 - 4 Weeks

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

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Optimization, Model Deployment, iOS Development, Apple iOS, Android Development, Tensorflow, Swift Programming, Model Training, Mobile Development, Embedded Systems, Computer Vision, Machine Learning

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

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Fine-tuning, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Generative Model Architectures, Model Training, Embeddings, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

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

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Applied Machine Learning, Dimensionality Reduction, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering, Probability & Statistics

    ★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 2

    Skills you'll gain: Prompt Engineering, Fine-tuning, LLM Application, OpenAI API, Model Optimization, Large Language Modeling, Embeddings, OpenAI, Responsible AI, Cost Management, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Model Training, Time Series Analysis and Forecasting, Generative Model Architectures, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Accelerate Model Training with PyTorch 2.X

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Training, Distributed Computing, Data Pipelines, Performance Tuning, Deep Learning, AI Workflows, Scalability, LLM Application, Memory Management, Hardware Architecture, Machine Learning

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
1…456…9

In summary, here are 10 of our most popular word2vec+model courses

  • Introduction to LLMs and Hugging Face: Edureka
  • Generative AI for Audio and Images: Models and Applications: Alberta Machine Intelligence Institute
  • Embedding Models: From Architecture to Implementation: DeepLearning.AI
  • Sequence Modeling, Transformers, and Transfer Learning: Packt
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson

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