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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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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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: 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
Tensors Demystified: From Basics to Gradients in Machine Learning Read More »
Neural networks are a really big deal in the fields of artificial intelligence and machine learning. Among the many applications of these networks, one of the most foundational and widely recognized is the task of digit recognition. This tutorial aims to go through the process of building a digit recognizer using a neural network, by
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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
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
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,
Machine Learning Mastery | Part 1: Introduction To Machine Learning Read More »
