Knowledge base

Latent Space
Knowledge base

What Is the Latent Space of an Image Synthesis System?

If you have any interest in image synthesis architectures such as Generative Adversarial Networks (GANs) or latent diffusion frameworks like Stable Diffusion, you’ll have noticed references to the ‘latent space’ of these systems.
The latent space, which we’ll look into more deeply here, is the ‘subconscious’ and overarching understanding of relationships between learned data points that a machine learning system has been able to derive from the information that it gets fed.

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Neural Compression
Knowledge base

What is Neural Compression?

Neural Compression is the conversion, via machine learning, of various types of data into a representative numerical/text format, or vector format.

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Generalization
Knowledge base

What is Generalization?

In machine learning, generalization is the ability of a trained model to perform effective transformations and inference on data other than the data on which it was trained.
For instance, an autoencoder-based deepfake model is trained on thousands of facial images of a particular person, and its objective is to ‘generalize’ core concepts from this multiplicity of diverse images into a single neural entity capable of superimposing one particular identity onto the face of another person.

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