Deep Learning

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The Many Applications of Gradient Descent in TensorFlow

By Alan Reiner

TensorFlow is one of the leading tools for training deep learning models. Outside that space, it may seem intimidating and unnecessary, but it has many creative uses—like producing highly effective adversarial input for black-box AI systems.

18 minute readContinue Reading
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Getting the Most Out of Pre-trained Models

By Nauman Mustafa

Pre-trained models are making waves in the deep learning world. Using massive pre-training datasets, these NLP models bring previously unheard-of feats of AI within the reach of app developers.

10 minute readContinue Reading
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Four Pitfalls of Sentiment Analysis Accuracy

By Rudolf Eremyan

Manually gathering information about user-generated data is time-consuming, to say the least. That's why more organizations are turning to automatic sentiment analysis methods—but basic models don't always cut it. In this article, Toptal Freelance Data Scientist Rudolf Eremyan gives an overview of some sentiment analysis gotchas and what can be done to address them.

6 minute readContinue Reading
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Schooling Flappy Bird: A Reinforcement Learning Tutorial

By Neven Pičuljan

Leveraging DeepMind's breakthrough AI approaches takes some work, but the results are astounding. In this article, Toptal Freelance Deep Learning Engineer Neven Pičuljan guides us through the building blocks of reinforcement learning, training a neural network to play Flappy Bird using the PyTorch framework.

17 minute readContinue Reading
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Introduction to Deep Learning Trading in Hedge Funds

By Neven Pičuljan

In this article, Toptal Freelance Software Engineer Neven Pičuljan introduces you to the intricacies of deep learning in hedge funds and finance in general.

21 minute readContinue Reading

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