Oct 19, 2025 · 10 min read · Introduction In this article, I will be talking about one of the most fundamental problems in deep learning known as the XOR problem. But first, let's discuss what deep learning means, why we need it, and some real-life use cases for deep learning. C...
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Jun 4, 2025 · 4 min read · What is a Multi-Layer Perceptron (MLP)? A multi-layer perceptron (MLP) is an artificial neural network (ANN) model agglomerate of multiple layers. It is known as the basic foundation of deep learning or neural networks. MLP usually has three types of...
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May 30, 2025 · 29 min read · The perceptron is a fundamental concept in deep learning, with many algorithms stemming from its original design. In this tutorial, I’ll show you how to build both single layer and multi-layer perceptrons (MLPs) across three frameworks: Custom class...
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May 12, 2025 · 5 min read · La capacité de prédire des valeurs continues est essentielle dans de nombreux domaines : prévisions financières, estimation de prix immobiliers, évaluation de la consommation énergétique, etc. Pour ces tâches, les méthodes linéaires montrent rapideme...
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Mar 15, 2025 · 4 min read · [41] Introduction LLMs or large language models are a specific type of machine learning model. they are built upon the principles of deep learning and utilize complex neural networks to process and generate human-like texts. OpenAI’s Latest ChatGPT M...
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Aug 25, 2024 · 5 min read · Imagine being able to impart human-like decision-making, pattern recognition, and even outcome prediction skills to a machine. Introducing Multilayer Perceptrons (MLPs), the foundation of contemporary artificial intelligence and a key to deciphering ...
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Jun 28, 2024 · 4 min read · Neural networks are the backbone of modern AI, powering advancements in various fields from image recognition to natural language processing. This blog post will unravel the complexities of neural networks, covering their basics, advanced architectur...
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