Neural Networks Archives

Exploring the Security Vulnerabilities of Neural Networks

Modeling cybersecurity Neural Networksposted by April Miller June 6, 2022

Neural networks have remarkable disruptive potential, but this makes their vulnerabilities more concerning. As helpful as these machine learning models can be, they could cause considerable damage if hackers infiltrate them. It’s important to recognize these risks to develop and implement neural networks safely. As neural... Read more

Deep Neural Networks Could Be Key to Ancient Text Restoration and Attribution, Research Shows

AI and Data Science News Modeling Neural Networksposted by April Miller April 14, 2022

Uncovering the truths of ancient history can be complicated. Researchers must study texts inscribed in stone and clay, a process called epigraphy, but these inscriptions can be ineligible after centuries of damage. Recent research suggests that deep neural networks (DNNs) could help with ancient text restoration.... Read more

Repo of the Week: Instant Neural Graphics Primitives

Deep Learning Modeling Neural Networks Repo of the Weekposted by ODSC Team March 12, 2022

A team of researchers from NVIDIA including Thomas Muller, Alex Evans, Christoph Schied, and Alexander Keller, demonstrated a new method that should enable the efficient use of artificial neural networks for rendering computer graphics. Rendering is a notoriously slow process so this is a significant development... Read more

Neural Network Optimization

Deep Learning Modeling Neural Networksposted by Matthew Stewart April 15, 2020

This article is the third in a series of articles aimed at demystifying neural networks and outlining how to design and implement them. In this article, I will discuss the following concepts related to the optimization of neural networks: Challenges with optimization Momentum Adaptive Learning Rates... Read more

Intermediate Topics in Neural Networks

Modeling NLP/Text Analytics Neural Networksposted by Matthew Stewart April 2, 2020

This article is the second in a series of articles aimed at demystifying the theory behind neural networks and how to design and implement them for solving practical problems. In this article, I will cover the design and optimization aspects of neural networks in detail. The... Read more

Keras Metrics: Everything You Need To Know

Deep Learning Modeling Keras Neural Networksposted by ODSC Community March 30, 2020

Keras metrics are functions that are used to evaluate the performance of your deep learning model. Choosing a good metric for your problem is usually a difficult task. you need to understand which metrics are already available in Keras and tf.keras and how to use them, in many... Read more

Simple Guide to Hyperparameter Tuning in Neural Networks

Modeling beales function Neural Networksposted by Matthew Stewart March 11, 2020

A step-by-step Jupyter notebook walkthrough on hyperparameter optimization. This is the fourth article in my series on fully connected (vanilla) neural networks. In this article, we will be optimizing a neural network and performing hyperparameter tuning in order to obtain a high-performing model on the Beale function—one... Read more

Deep Q-Learning Algorithm in Reinforcement Learning

Deep Learning Modeling Neural Networks Reinforcement Learningposted by ODSC Community February 21, 2020

In this article, we will discuss Q-learning in conjunction with neural networks (NNs). This combination has the name deep Q-network (DQN). This article is an excerpt from the book Deep Reinforcement Learning Hands-on, Second Edition by Max Lapan. This book provides you with an introduction to the... Read more

Building a Convolutional Neural Network: Male vs Female

Machine Learning Modeling convnets Neural Networksposted by Shadab Hussain August 14, 2019

In this blog, we are going to classify images using Convolutional Neural Network (CNN), and for deployment, you can use Colab, Kaggle, or even use your local machine since the dataset size is not very large. At the end of this, you will be able to... Read more

Adversarial Attacks on Deep Neural Networks

Conferences Modeling Conferences Neural Networks odsc eastposted by Elizabeth Wallace, ODSC June 11, 2019

Our deep neural networks are powerful machines, but what we don’t understand can hurt us. As sophisticated as they are, they’re highly vulnerable to small attacks that can radically change their outputs. As we go deeper into the capabilities of our networks, we must examine how... Read more