Tag deep learning

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Here you'll find resources about data science, software engineering, and life. Well, maybe not life...

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The accessibility of GPT-2 - text generation and fine-tuning

Text generation using GPT-2 is quite easy, using the right tools. Learn how to do it, as well as how to fine-tune the model on your own dataset.

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Mixture of Variational Autoencoders - a Fusion Between MoE and VAE

An unsupervised approach to digit classification and generation.

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Preparing for the Unexpected

How to apply your model to input it has never seen before.

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Think your Data Different

Learn how node2vec works, and what kind of information it captures that word2vec doesn’t — includes case study.

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Variational Autoencoders Explained in Detail

Learn all the details needed to implement a variational autoencoder, code included.

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How to Engineer Your Way Out of Slow Models

So you just finished designing that great neural network architecture. But how do you handle the fact it is slow?

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Zooming Past the Competition

How to create an Augmented Reality app that allows a user to get content recommendations.

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Variational Autoencoders Explained

Ever wondered how the Variational Autoencoder model works? Keep reading to find out.

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Uncertainty for CTR Prediction: One Model to Clarify Them All

Learn how to handle uncertainty in recommender systems in a principled way using one unified model.

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Recommender Systems: Exploring the Unknown Using Uncertainty

Learn what the exploration-exploitation tradeoff is, and how to use your model's uncertainty to explore new items in a wise manner.

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