Ju Rao’s Post

Our GenAI series highlights G for GAN. Learn about the machine learning framework where two neural networks compete to create increasingly realistic data. 🔗 Find Out More https://bit.ly/4cA6he6 #GAN #GenerativeModels #AI #MachineLearning #ABCsOfGenAI

The development of neural networks - do we really realize how fast this is happening? A clear demonstration of the rapid #development of neural networks: - Top video was generated in April 2023. - Bottom one was generated in July 2024. That's only one year difference! Just compare the jump in quality. Everything is clear just by looking at these videos. So what do you think, will #NN be able to replace real #actors and real #movies or videos in the #future, or will NN never be a true replacement for humans? #NeuralNetworks #AI #MachineLearning #Technology #Innovation #FutureTech #ArtificialIntelligence #DeepLearning #TechTrends #DigitalTransformation #FutureOfWork #Automation #TechInnovation #NeuralNetworkDevelopment #AIResearch

🧠🖼️ Exploring the inner workings of neural networks in image classification! Dive into the process from input to prediction, visualized in this simplified neural network diagram. 🐱 #NeuralNetworks #ImageClassification #AI #MachineLearning

While existing machine learning models such as deep neural networks can achieve high levels of accuracy, they lack interpretability and explainability. Failure to understand why a model arrived at a decision undermines confidence in its prediction. To overcome this, AI systems must be explainable. NEC Senior Research Scientist Dr. Sascha Saralajew discusses the growing importance of explainable AI (XAI) and human-centric AI in light of the upcoming EU AI Act, which will make it mandatory for AI models to be interpretable in high-risk domains. He highlights the challenges of building truly interpretable models with deep neural networks and why NEC Laboratories Europe GmbH is focusing on prototype-based models to achieve explainability. Watch now: https://lnkd.in/eKbDqTmF.  #NECLabs #machinelearning #explainableAI #artificialintelligence

Did you know that increasing a model’s complexity can sometimes improve performance—after it starts overfitting? 🤔 This surprising phenomenon, called Double Descent, challenges the classic bias-variance tradeoff. A 2019 paper by Belkin et al. explains how, beyond the "interpolation threshold," highly overparameterized models like neural networks generalize better due to implicit regularization. 😮 Why It Matters: 1️⃣ Explains why large models (e.g., GPTs) perform well despite massive parameter counts. 2️⃣ Shifts how we think about capacity and overfitting in modern AI. link of the paper: https://lnkd.in/eC-PYU-B #MachineLearning #AI #DoubleDescent #DataScience

🚀 Day 18: Neural Network layers Today, I delved into neural network layers which are interconnected sets of nodes organizing information for pattern recognition and decision-making. Explored the complexities of deriving activation values across different layers. I also learned how neural networks make inferences, focusing particularly on forward propagation for hand digit recognition. #AI #DataScience #ArtificialIntelligence #machinelearning

Generative AI #GAN (Generative adversarial network) #fake Image, Video voice Generative models through which you can create new data points that resemble the original data to such an extent that it can even fool the human eye. They reach this level by combining two neural networks competing with each other by training

🧠 Exploring Neural Networks: Attention Mechanism vs Memory Networks 🌐 In the realm of AI, understanding how models handle information is crucial. 🚀 Dive into the differences between Attention Mechanisms and Memory Networks in this carousel! From dynamic focus to long-term dependency handling, discover their applications and impact on cutting-edge technologies. 🌟 Which one would you choose for your next AI project? Let's discuss! 💬 #AI #NeuralNetworks #TechInnovation #MachineLearning #DeepLearning #LinkedInLearning

Neural networks are transforming the way we work and live. From healthcare to finance, their applications are far-reaching and the possibilities are endless! Discover how neural networks are revolutionizing different sections of the modern-day industry - https://hubs.la/Q02Qyd1P0 #NeuralNetworks #AI #MachineLearning #Technology #Innovation

Excited to have participated in a workshop on Neural Networks by DeepLearning.AI! 🧠 This session deepened my understanding of AI and its potential applications. Looking forward to applying this knowledge in future projects. #NeuralNetworks #AI #MachineLearning #ContinuousLearning