LinkedIn – Generative NLP with Variational AutoEncoders 2024-6

LinkedIn – Generative NLP with Variational AutoEncoders 2024-6 Downloadly IRSpace

LinkedIn – Generative NLP with Variational AutoEncoders 2024-6
LinkedIn – Generative NLP with Variational AutoEncoders 2024-6

Generative NLP with Variational AutoEncoders course. In today’s artificial intelligence world, it is difficult to stay up to date with the latest developments. This is especially true for text generator models. Choosing the right model, how to use it and when to use it are big challenges. In this course, the course instructor, Axel Sirota, teaches you how to use Variational Autoencoders (VAEs) for text generation. This course includes comprehensive training on how to create complex models in Keras, how to create denoising autoencoders, and how to create VAEs for text generation. Throughout the course, Alex will help you hone your new skills by providing demonstrations and hands-on exercises.

What you will learn

  • How to create complex models in Keras
  • How to create noisy autoencoders
  • How to create VAEs for text generation
  • How to use VAEs to generate sentences
  • How to manage custom layers, models and functions in Keras
  • What is changing in VAEs?
  • Integration of BiLSTMs into VAEs
  • Create an encoder
  • KL drop and divergence function
  • Create custom drop function and custom optimizer
  • Integrate everything for VAE training
  • sentence generation
  • What is an autoencoder?
  • Applications of automatic encoders
  • Why do we need custom elements in Keras?
  • Using a functional API versus a sequential API
  • Create a multi-output model
  • Create and add a custom drop function
  • Create a custom layer
  • Training a model with a custom layer
  • Integrating Everything: Model Definition
  • Custom model training
  • Creating a Siamese network
  • Create a simple autoencoder
  • Use a custom encoder to output the latent representation
  • Integrate everything in Keras for text generation
  • Creating a deep autoencoder
  • Noise removal using an autoencoder

Who is this course suitable for?

  • Those interested in learning artificial intelligence
  • Machine learning experts
  • Developers interested in learning how to generate text using artificial intelligence
  • Anyone who wants to learn more about VAEs and their applications

Generative NLP with Variational AutoEncoders course specifications

  • Publisher: LinkedIn
  • Lecturer: Axel Sirota
  • Training level: advanced
  • Training duration: 4 hours and 44 minutes

Course headings

 Generative NLP with Variational AutoEncoder

Images of Generative NLP with Variational AutoEncoders course

Generative NLP with Variational AutoEncoder

Sample video of the course

Installation guide

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English subtitle

Quality: 720p

download link

Download file – 550 MB

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550 MB