The Building Blocks of Image Recognition: A Dive into Deep Learning Layers

by Michał ŻelazkiewiczMachine LearningPosted on Comments are Disabled

The Magic Behind Convolutional Layers Let’s kick things off with convolutional layers, the rockstars of image classification. Imagine you’re looking at a photo of a cat. Your eyes naturally focus on key features like whiskers, eyes, and fur. Convolutional layers do something similar but in a mathematical way. They scan the image using filters (also …

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Exploring Advanced AI Models: Recurrent Neural Networks to Transformers

by Michał ŻelazkiewiczMachine LearningPosted on Comments are Disabled

Artificial intelligence has dramatically evolved over the past few years, with a range of models being developed to support diverse machine learning tasks. Among these models, recurrent neural networks (RNNs), long short-term memory (LSTM), convolutional neural networks (CNNs), transformers, and attention mechanisms have garnered significant attention. These AI models provide advanced capabilities for understanding and …

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Transforming NER and Content Generation: Unpacking the Power of LLM Models

by Michał ŻelazkiewiczMachine LearningPosted on Comments are Disabled

With the advent of large language models (LLMs), the landscape of natural language processing (NLP) has undergone a seismic shift. Leveraging advances in artificial intelligence, LLMs have yielded unprecedented outcomes in several domains, including Named Entity Recognition (NER) and content generation. To comprehend the impact of LLMs, we first need to understand their nature. Large …

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