What is Transfer Learning?
Assume you have an issue you want to tackle with computer vision but just a few images to base your new model on. What are your options?
Zero-shot learning in Computer Vision/Vision AI
Zero-shot learning (ZSL) is a machine learning technique that enables a model to categorise items from previously unseen classes without getting any explicit training for those classes.
How to Split Dataset in Machine Learning?
To prevent overfitting and to correctly evaluate your model, divide your data into train, validation, and test batches
What is EfficientNet?
First introduced in 2019 by a team of Google AI researchers, quickly became a go-to architecture for many difficult tasks
What is a neural network?
The development of neural networks is an active subject of study, as academics and businesses attempt to find more efficient ways to handle complicated problems using machine learning.
What is Knowledge Distillation?
Deep neural networks have grown in popularity for a variety of applications ranging from recognising items in images using object detection models to creating language using GPT models. Deep learning models, on the other hand, are frequently huge and computationally costly, making them challenging to deploy on resource-constrained devices like mobile phones or embedded systems. Knowledge distillation solves this issue by condensing a huge, complicated neural network into a smaller, simpler one while retaining its performance.
The Virtuous Cycle of Synthetic Data in AI-powered Products
The virtuous cycle of data needs to be expanded by new modalities including synthetic data to further enhance product development and customers willingness to share more data.
A Comprehensive Strategy For Computer Vision By Combining Data-Centric And Model-Based Approaches With High Quality Synthetic Datasets
In this article, you'll discover how to think about your machine learning models from a data-centric standpoint, stressing the relevance and value of data in the AI models creation process.
Accelerating Model Development and AI Training with Synthetic Data, SKY ENGINE AI Platform for 5G RAN
One way to bridge the data gap and accelerate model training is by using synthetic data instead of real data for training. SKY ENGINE AI provides a platform to move deep learning to virtual reality. It is possible to generate synthetic data using simulations where the synthetic images come with the annotation that can be used directly in training AI models.
Integrating with Data Generation and Labeling Tools for Accurate AI Training
SKY ENGINE AI in the NVIDIA Developers Blog article.