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Showing 7 of 7 articles

This Week, Google Unveiled Its Latest Technological Toy – Bidirectional Encoder Representations Transformers, or BERTArchive 2018
1 min

This Week, Google Unveiled Its Latest Technological Toy – Bidirectional Encoder Representations Transformers, or BERT

How does BERT differ from traditional NLP models like word2vec and GloVe? Word2vec and other models generate context-free word embeddings. Each word...

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A New Kind of AI – Augmented Random SearchArchive 2018
2 min

A New Kind of AI – Augmented Random Search

Recently, a phenomenal topic has emerged among AI researchers. A new kind of AI has been invented! The algorithm is so simple that you don't need any complex framework like TensorFlow to implement it…

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The Conclusion of the Trilogy on Autoencoders or Genesis 2.0 – Right up to the Creation of the First HumansArchive 2018
2 min

The Conclusion of the Trilogy on Autoencoders or Genesis 2.0 – Right up to the Creation of the First Humans

In the beginning, there was chaos and noise. Epoch One. And the great Generator said: Let there be light! And there was light. And the Discriminator saw the light, that it was good…

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The First Part of the Trilogy on the Use of Autoencoders – Noise ReductionArchive 2018
1 min

The First Part of the Trilogy on the Use of Autoencoders – Noise Reduction

This time focusing on noise reduction. First, I will contaminate the entire dataset with a large amount of colour noise. I will compress this damaged image (to 512 digits) and then decompress it again. The excess noise was…

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The Second Part of the Trilogy on Autoencoders – Morphing and Finding Similar ImagesArchive 2018
1 min

The Second Part of the Trilogy on Autoencoders – Morphing and Finding Similar Images

This time, we aim to find the most similar image in the dataset. Simply encode a face into a matrix of a few numbers. Then, you look at which matrix of encoded numbers…

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What is an Autoencoder and How Does it Compress Data?Archive 2018
1 min

What is an Autoencoder and How Does it Compress Data?

I continue my study of artificial intelligence in the 'Russian school'. It's a tough but good school. It took me 10 minutes to solve the autoencoder task with an error rate of 6.7%, but it took three days of experimentation to tame the error size down to 5%.

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Advanced Machine Learning at the National Research University Higher School of EconomicsArchive 2018
2 min

Advanced Machine Learning at the National Research University Higher School of Economics

I am currently studying advanced machine learning at the National Research University Higher School of Economics, which is a top Russian university for economics and ranks among...

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