In this article, we discuss topics such as adapting transformer architecture from NLP for image processing. We will explore novel vision transformers architectures and their application to сomputer vision problems: object detection, semantic segmentation, depth prediction.
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Each data scientist conducts many different experiments in order to find the best set of hyperparameters. In this article, we will consider the platform, which allows you to efficiently manage and log your experiments - Weights & Biases.
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Hyperparameters optimization is an essential part of machine learning and deep learning projects. Manually selecting the best hyperparameters is not easy. This is the case especially for complex models such as neural networks.
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Deep learning is used in various fields of knowledge, such as medicine, computer vision systems, production automation systems, etc.
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Data science has been an essential component of the finance sector for a while now. The finance industry provides the necessary ingredient for deep learning - big data.
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Before explaining how you can use synthetic data generation to resolve AI bias and its classification, we need to learn how it came to be.
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Artificial intelligence applies to every industry in the world. The main question is how to use AI for counterfeit recognition.
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A Tractica report estimates NLP market to grow to $22.3 billion by 2025. Natural Language Processing (NLP) is among the hottest topics in the field of data science.
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As machine learning (ML) systems become a staple of everyday life, the security threats they entail will spill over into all kinds of applications we use, according to a new report.
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