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Can intelligence emerge simply by training a big enough language model using lots of data? OpenAI tries to do so, using 175 billion parameters.
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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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An unsupervised approach to digit classification and generation.
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How to structure your TensorFlow graph like a software engineer.
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How to apply your model to input it has never seen before.
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Learn how node2vec works, and what kind of information it captures that word2vec doesn’t — includes case study.
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A couple of months ago I embarked on a journey to build my personal brand as a data scientist, and I want to share how I did it with you.
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Splitting your dataset to train-test sets can sometimes be more complicated than one might expect.
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The weird (but cool) way to access a tensorflow model by mounting it into a filesystem.
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Learn all the details needed to implement a variational autoencoder, code included.
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