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Tag: loss functions

Top 10 Skills to Become a Generative AI Expert

Generative AI is one area of artificial intelligence (AI) that is extremely intriguing and cutting edge as the field develops. Building AI models with...

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WTF is the Difference Between GBM and XGBoost? – KDnuggets

Image by upklyak on Freepik  I am sure everyone knows about the algorithms GBM and XGBoost. They are go-to algorithms for many real-world use...

Mastering LeNet: Architectural Insights and Practical Implementation

Introduction LeNet-5, a pioneering convolutional neural network (CNN) developed by Yann LeCun and his team in the 1990s, was a game-changer in computer vision and...

Dialogue-guided visual language processing with Amazon SageMaker JumpStart | Amazon Web Services

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing....

Training a Variational Autoencoder For Anomaly Detection Using TensorFlow

Introduction Generative AI has gained immense popularity in recent years for its ability to create data that closely resembles real-world examples. One of the lesser-explored...

A Comprehensive Guide to UNET Architecture | Mastering Image Segmentation

Introduction In the exciting subject of computer vision, where images contain many secrets and information, distinguishing and highlighting items is crucial. Image segmentation, the process...

Using GANs in TensorFlow Generate Images

Introduction In this article, we explore the application of GANs in TensorFlow for generating unique renditions of handwritten digits. The GAN framework comprises two key...

Learning Pose Estimation Using New Computer Vision Techniques

Introduction Finding and tracking the positions of important body joints or keypoints in an image or video sequence is the task of posture detection, commonly...

Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches

Multi-label NLP refers to the task of assigning multiple labels to a given text input, rather than just one label. In traditional NLP tasks,...

Explore the World of Data-Tech with DataHour

Introduction DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers. Current professionals...

Top Free Data Science Online Courses for 2023

Image by Author  Sticking to your new year's resolutions can be difficult. It’s even harder when you’ve decided you want to shift careers and...

PyTorch: A Comprehensive Guide to Common Mistakes

Introduction PyTorch is a popular open-source machine-learning library that has recently gained immense popularity among data scientists and researchers. With its easy-to-use interface, dynamic computational...

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Analyzing real-world healthcare and life sciences (HCLS) data poses several practical...

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