Complex Neural Networks

CSI NN: Reverse Engineering Neural Network Structures via Electromagnetic Side Channels

by
CSI NN: Reverse Engineering Neural Network Structures via Electromagnetic Side Channels

Abstract Machine learning has become a mainstream solution applied across various industries. In this work, we investigate how to use side-channel information such as timing and electromagnetic (EM) emissions to perform reverse engineering of neural networks. To this end, we consider multilayer perceptrons and convolutional neural networks as the choices of machine learning architecture, assuming … Read more

Online Training Module and Code for Neural Networks in MATLAB-Simulink

by
Online Training Module and Code for Neural Networks in MATLAB-Simulink

Introduction Implementing online training of neural networks in MATLAB-Simulink typically requires combining Simulink models and MATLAB scripts. Here are the general steps: Building the Simulink Model: Use the Neural Network Toolbox in Simulink to add a neural network block. This can be done through the “Add Block” menu. Configure the structure, input, output, and other … Read more

Berkeley: Modular Neural Networks for Complex Reasoning

by
Berkeley: Modular Neural Networks for Complex Reasoning

New Intelligence Compilation Source: bair.berkeley.edu Author: Jacob Andreas Translator: Liu Xiaoqin [New Intelligence Guide]This article is the first technical blog post published by the Berkeley Artificial Intelligence Research (BAIR) lab, detailing the role of Neural Module Networks (NMNs) in complex reasoning tasks and their advantages and challenges compared to other methods. Open the New Intelligence … Read more

DeepMind AI Relation Reasoning Surpasses Humans: Plug-and-Play Deep Neural Network Module

by
DeepMind AI Relation Reasoning Surpasses Humans: Plug-and-Play Deep Neural Network Module

New Intelligence Source Compilation Source: deepmind.com; arXiv.org Translator: Wenqiang 【New Intelligence Source Guide】DeepMind today published an official blog introducing their two latest papers, claiming that both have shown promising results in understanding the challenge of “relation reasoning”. One is the Visual Interaction Network (VIN), which can predict the positions of various objects in a visual … Read more

Integrated Ferroelectric Photovoltaic Sensor Network for Zero-Energy Image Perception

by
Integrated Ferroelectric Photovoltaic Sensor Network for Zero-Energy Image Perception

According to a report by MEMS Consulting, the team led by Fan Zhen from the South China Advanced Optoelectronics Research Institute has recently developed an integrated ferroelectric photovoltaic sensor network, achieving zero-energy image perception and real-time processing. This provides a feasible technical route for developing highly robust, high-speed, and low-energy machine vision systems. The related … Read more

Parallel Computing and Multithreading in C++ Neural Network Models

by
Parallel Computing and Multithreading in C++ Neural Network Models

Introduction: The Collision of C++ and Neural Networks In today’s programming world, C++ is like a low-key yet powerful “behind-the-scenes hero”, firmly dominating the field of high-performance computing. From the stunningly realistic graphics rendering in game development to precise handling of complex data in scientific computing, C++ builds efficient systems through its near-ultimate control over … Read more

Batch Normalization and Accelerating Training in C++

by
Batch Normalization and Accelerating Training in C++

Introduction: The Wonderful Collision of C++ and Neural Networks Today, the wave of AI is sweeping across the globe, from facial recognition payments to intelligent voice assistants, from precise medical imaging diagnosis to self-driving cars, the presence of neural networks is ubiquitous. It has become the core engine driving these innovative applications. In the realm … Read more

Weight Decay and Regularization in C++ Neural Networks

by
Weight Decay and Regularization in C++ Neural Networks

Introduction: The Fantastical World of C++ Neural Networks Today, the wave of AI is sweeping across the globe, and C++ neural networks play an extremely important role in this. From intelligent voice assistants that instantly understand and accurately respond to our needs, to self-driving cars that navigate smoothly on the road with precise perception and … Read more

Neural Network Weight Initialization Methods in C++

by
Neural Network Weight Initialization Methods in C++

1. Weight Initialization — The “Morning Star” of Neural Networks In the vast universe of neural networks, weight initialization serves as the morning star, guiding the direction of model training. It is not merely about randomly assigning initial values to weights; rather, it is a crucial factor that determines whether the model can learn efficiently … Read more

Mixed Precision Computation of Neural Network Models in C++

by
Mixed Precision Computation of Neural Network Models in C++

Introduction: The Rise of AI and Mixed Precision Computation In recent years, AI has become one of the hottest topics in the tech field, from intelligent voice assistants to image recognition software, from autonomous vehicles to precise medical diagnostics, AI is omnipresent, profoundly changing our lives and work methods. Behind this AI boom is the … Read more