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Tag: neural network models

Understanding Overfitting in ConvNets

Introduction Overfitting in ConvNets is a challenge in deep learning and neural networks, where a model learns too much from training data, leading to poor...

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Supercharge Your AI with HuggingGPT

Introduction Artificial Intelligence (AI) has revolutionized various industries, enabling machines to perform complex tasks that were once considered exclusive to human intelligence. One of the...

What is Adam Optimizer and How to Tune its Parameters in PyTorch

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and...

Elon Musk Predicts the End of All Jobs—Google AI Exec Disagrees – Decrypt

Calling artificial intelligence the most disruptive force in history, Tesla and SpaceX CEO Elon Musk heralded the end of the modern workforce during a...

The Role of Enterprise Knowledge Graphs in LLMs

Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing. They can understand and generate human language...

Study Proposes New Bitcoin Option Pricing Model Driven by AI

A recent study has revealed an innovative Bitcoin option pricing model powered by artificial intelligence (AI). This state-of-the-art model seamlessly combines Bitcoin price dynamics and...

Self-supervised AI learns physics to reconstruct microscopic images from holograms

Aug 07, 2023 (Nanowerk News) Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy...

How Light & Wonder built a predictive maintenance solution for gaming machines on AWS | Amazon Web Services

This post is co-written with Aruna Abeyakoon and Denisse Colin from Light and Wonder (L&W). Headquartered in Las Vegas, Light & Wonder, Inc. is...

Programming Processors In Heterogeneous Architectures

Programming processors is becoming more complicated as more and different types of processing elements are included in the same architecture. While systems architects may revel...

Supervised Learning vs. Unsupervised Learning Algorithms

IntroductionMachine Learning (ML) is a field of study that focuses on developing algorithms to learn automatically from data, making predictions and inferring patterns without...

Demand forecasting at Getir built with Amazon Forecast | Amazon Web Services

This is a guest post co-authored by Nafi Ahmet Turgut, Mutlu Polatcan, Pınar Baki, Mehmet İkbal Özmen, Hasan Burak Yel, and Hamza Akyıldız from...

Automate Data Extraction from Patient Registration Forms

Are you looking to extract data from patient registration forms? Try Nanonets OCR software to extract fields with more than 98%+ accuracy. ...

Meta Unveils AI Image Segmentation Model, SAM

Alphabet Inc’s Google has shared information about supercomputers it uses to train AI models, claiming they are power-efficient and faster than Nvidia’s A100 chip....

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