Machine Learning

Visualization and Analysis Tools for Neural Network Models in C++

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Visualization and Analysis Tools for Neural Network Models in C++

Introduction: Entering the World of Neural Network Visualization In today’s technological wave, neural networks are undoubtedly a shining star, driving artificial intelligence to expand its horizons across various fields with their powerful learning and prediction capabilities. From image recognition, voice interaction, to intelligent driving, the presence of neural networks is ubiquitous. In the development and … Read more

Cost-Effective Fine-Tuning with LoRA

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Cost-Effective Fine-Tuning with LoRA

Selected from Sebastian Raschka’s blog Translated by Machine Heart Editor: Jiaqi This is the experience derived from hundreds of experiments by the author Sebastian Raschka, worth reading. Increasing the amount of data and the number of model parameters is a widely recognized direct method to improve neural network performance. Currently, mainstream large models have parameter … Read more

Latest Advances in LoRA: A Comprehensive Review

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Latest Advances in LoRA: A Comprehensive Review

Abstract——The rapid development of foundational models——large-scale neural networks trained on diverse and extensive datasets——has revolutionized artificial intelligence, driving unprecedented advancements in fields such as natural language processing, computer vision, and scientific discovery. However, the enormous parameter counts of these models, often reaching billions or even trillions, pose significant challenges in adapting them to specific downstream … Read more

ReLoRA: Efficient Large Model Training Through Low-Rank Updates

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ReLoRA: Efficient Large Model Training Through Low-Rank Updates

This article focuses on reducing the training costs of large Transformer language models. The author introduces a low-rank update-based method called ReLoRA. A core principle in the development of deep learning over the past decade has been to “stack more layers,” and the author aims to explore whether stacking can similarly enhance training efficiency for … Read more

LoRA: The Nitrogen Accelerator for Large Models

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LoRA: The Nitrogen Accelerator for Large Models

Selected from Raphael G’s blog Translated by Machine Heart Author: Raphael G Editor: Big Chicken Using LoRA to build faster AI models. AI models are becoming increasingly powerful and complex, and their speed has become one of the standards for measuring advancement. If AI is a luxury sports car, then the LoRA fine-tuning technology is … Read more

In-Depth Introduction to NVIDIA Jetson Products

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In-Depth Introduction to NVIDIA Jetson Products

This article is organized from NVIDIA’s 2024 GTC lecture. Now, let’s dive deep into our Jetson platform. These are our Jetson Orin modules, and we have seven different modules covering the entire range from entry-level to high performance. The best part is that, unlike before, we have adopted a SOC (System on Chip) architecture across … Read more

Getting Started with BeagleBone AI64: A Unique Guide

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Getting Started with BeagleBone AI64: A Unique Guide

If you don’t want to miss my updates, remember to go to the top right corner – view the official account – set it as a starred item, and take down the star to send it to me. The well-known development board brand BeagleBone has launched their AI development board BeagleBone AI64, which is said … Read more

Faster And More Accurate Data Computation With Next-Gen DSP

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Faster And More Accurate Data Computation With Next-Gen DSP

The architecture of traditional Digital Signal Processors (DSP) has become inadequate for specific signal processing computational applications. However, the combination of Very Long Instruction Word (VLIW) and Single Instruction/Multi Data (SIMD) architectures can provide the parallel throughput required for high computational performance, with data typically being 16, 24, and 32 bits wide. This is particularly … Read more

CPO-SVMD Decomposition | Matlab Implementation of CPO-SVMD Hedgehog Algorithm Optimization

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CPO-SVMD Decomposition | Matlab Implementation of CPO-SVMD Hedgehog Algorithm Optimization

Reading time required 6 minutes Speed reading only takes 2 minutes Please respect the original work Please indicate the link to this article and the author: Machine Learning Heart Abstract: CPO-SVMD Decomposition | Matlab Implementation of CPO-SVMD Hedgehog Algorithm Optimization 1 Basic Introduction CPO-SVMD Decomposition | Matlab Implementation of CPO-SVMD Hedgehog Algorithm Optimization Includes 15 … Read more

Master MATLAB: Summer Advanced Course for Researchers

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Master MATLAB: Summer Advanced Course for Researchers

It is said that nearly 90% of researchers in the United States can use MATLAB!!! Researcher A: How do I draw a dual Y-axis graph? Research Expert: MATLAB Researcher A: What about a 3D dynamic graph? Research Expert: MATLAB Researcher A: What about principal component analysis? Research Expert: MATLAB Researcher A: What about pattern recognition? … Read more