Luqman Zaceria

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Writing Trump’s Next Speech With AI

The following content is purely for educational and entertainment purposes. It does not reflect personal political opinions or beliefs. Today, I’m diving into a wild AI experiment: generating speeches that sound like Donald Trump that have never been seen before using GPT-2 and some cutting-edge techniques called LoRA and PEFT. But before we get into […]

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Creating a Neural Network from Scratch Using Python and NumPy

Neural networks have revolutionized the field of artificial intelligence, enabling complex problem-solving and learning from vast amounts of data. In this article, we will explore how to create a neural network from scratch using only Python and NumPy, without relying on frameworks like PyTorch or TensorFlow, achieving an accuracy of 97.56%! This approach will give

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convolutional neural network

Understanding Convolutional Neural Networks (CNNs)

Hey everyone! We’re going to explore one of the most influential and powerful tools in the world of deep learning: Convolutional Neural Networks, or CNNs. Convolutional Neural Networks have revolutionized many fields, particularly computer vision, due to their unparalleled ability to process and analyze visual data. They are the driving force behind advanced technologies like

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Tensors Demystified: From Basics to Gradients in Machine Learning

Tensors: The Building Blocks of Modern Machine Learning Code and Notebook: https://github.com/Lumos-Academy/educational/blob/main/tensors/tensors.ipynb Tensors are fundamental mathematical objects used in various fields, including physics, engineering, and machine learning. In simple terms, a tensor is a generalization of vectors and matrices to potentially higher dimensions. They’re especially important in deep learning, where they represent the core data

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Reinforcement Learning with Action-Free Pre-Training from Videos: A Comprehensive Exploration and Summary

In the rapidly evolving field of artificial intelligence, a groundbreaking approach to reinforcement learning (RL) has emerged, promising to significantly improve the efficiency and effectiveness of robot learning. The paper “Reinforcement Learning with Action-Free Pre-Training from Videos” introduces APV (Action-Free Pre-training from Videos), a novel framework that leverages the power of video data to enhance

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Any-point Trajectory Modeling for Policy Learning: A Comprehensive Exploration and Summary

In the world of robotics, learning complex manipulation skills from video data has been a long-standing challenge. A groundbreaking new paper, “Any-point Trajectory Modeling for Policy Learning,” introduces an innovative approach that could revolutionize how robots learn from visual information. Let’s explore this exciting development in detail. Project Page, Paper, Code The Challenge of Learning

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Machine Learning Mastery | Part 1: Introduction To Machine Learning

Hello and welcome to the first blog post in my new series, Machine Learning Mastery. In this article, I’m going to be giving you an introduction to machine learning. So I want you to imagine a world where diseases are predicted before symptoms appear, where your car knows your destination before you say a word,

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