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Tag: autoencoder

Differences between Autoregressive, Autoencoding and Sequence-to-Sequence Models in Machine Learning

Differences between Autoregressive, Autoencoding and Sequence-to-Sequence Models in Machine Learning

Chris29 December 20202 January 20214 Comments
Transformers have changed the application of Machine Learning in Natural Language Processing. They have replaced LSTMs as state-of-the-art (SOTA) approaches...
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How to create a variational autoencoder with Keras?

How to create a variational autoencoder with Keras?

Chris30 December 201917 August 202022 Comments
In a different blog post, we studied the concept of a Variational Autoencoder (or VAE) in detail. The models, which...
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How to visualize the encoded state of an autoencoder with Keras?

How to visualize the encoded state of an autoencoder with Keras?

Chris26 December 201929 December 20191 Comment
Autoencoders are special types of neural networks which learn to convert inputs into lower-dimensional form, after which they convert it...
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What is a Variational Autoencoder (VAE)?

What is a Variational Autoencoder (VAE)?

Chris24 December 20198 December 20204 Comments
Suppose that you have an image of a man with a moustache and one of a man without one. You...
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How to use Kullback-Leibler divergence (KL divergence) with Keras?

How to use Kullback-Leibler divergence (KL divergence) with Keras?

Chris21 December 201922 December 20195 Comments
When you train a supervised machine learning model, you feed forward data, generating predictions on the fly. The comparison of...
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Building an Image Denoiser with a Keras autoencoder neural network

Building an Image Denoiser with a Keras autoencoder neural network

Chris20 December 201920 December 20192 Comments
Images can be noisy, and you likely want to have this noise removed. Traditional noise removal filters can be used...
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Creating a Signal Noise Removal Autoencoder with Keras

Creating a Signal Noise Removal Autoencoder with Keras

Chris19 December 20196 January 202111 Comments
Pure signals only exist in theory. That is, when you’re doing signal processing related activities, it’s very likely that you’ll...
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UpSampling2D: how to use upsampling with Keras?

UpSampling2D: how to use upsampling with Keras?

Chris11 December 201911 December 20193 Comments
The Convolutional layers section of the Keras API contains the so-called UpSampling2D layer. But what does it do? And how...
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Conv2DTranspose: using 2D transposed convolutions with Keras

Conv2DTranspose: using 2D transposed convolutions with Keras

Chris10 December 201911 December 20194 Comments
Transposed convolutions – we looked at them in theory in a previous blog post, but how can they be applied?...
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