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  • Data Encodings And Autoencoders

Results for "data+encodings+and+autoencoders"


  • Status: New
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    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, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pearson

    Programming Generative AI: Unit 3

    Skills you'll gain: Multimodal Prompts, Generative AI, Model Evaluation, Generative Model Architectures, Image Analysis, Embeddings, Transfer Learning, Computer Vision, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    Encoder-Decoder Architecture - 한국어

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Tensorflow, Model Deployment, Generative Model Architectures, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    DeepLearning.AI

    Open Source Models with Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
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    73 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
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    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
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    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, Generative Model Architectures, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    DeepLearning.AI

    Understanding and Applying Text Embeddings

    Skills you'll gain: Embeddings, LLM Application, Anomaly Detection, Generative AI, Google Cloud Platform, Natural Language Processing, Vector Databases, Semantic Web, Unsupervised Learning, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    67 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
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    Edureka

    Generative AI Foundations

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Pearson

    Programming Generative AI: Unit 2

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
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    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    98 reviews

    Intermediate · Course · 1 - 4 Weeks

1…6789

In summary, here are 10 of our most popular data+encodings+and+autoencoders courses

  • Learning Deep Learning: Unit 2: Pearson
  • Programming Generative AI: Unit 3: Pearson
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Encoder-Decoder Architecture - 한국어: Google Cloud
  • Open Source Models with Hugging Face: DeepLearning.AI
  • Quantization in Depth: DeepLearning.AI
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Understanding and Applying Text Embeddings: DeepLearning.AI
  • Generative AI Foundations: Edureka
  • Programming Generative AI: Unit 2: Pearson

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