Heartbeat

JULY 17, 2023

Make sure that you import Comet library before PyTorch to benefit from auto logging features Choosing Models for Classification When it comes to choosing a computer vision model for a classification task, there are several factors to consider, such as accuracy, speed, and model size. Pre-trained models, such as VGG, ResNet.

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

Pickl AI

JANUARY 23, 2023

Popular Machine Learning Frameworks Tensorflow Tensorflow is a machine learning framework that was developed by Google’s brain team and has a variety of features and benefits. This framework can perform classification, regression, etc., It is mainly used for deep learning applications.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

The MLOps Blog

JUNE 27, 2023

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

AWS Machine Learning Blog

MARCH 1, 2023

The ETL pipeline, MLOps pipeline, and ML inference should be rebuilt in a different AWS account. To solve this problem, we make the ML solution auto-deployable with a few configuration changes. ML engineers no longer need to manage this training metadata separately.

Automation 87

Automation ETL Data Drift ML 87

AWS Machine Learning Blog

MARCH 1, 2023

Machine learning (ML) engineers can fine-tune and deploy text-to-semantic-segmentation and in-painting models based on pre-trained CLIPSeq and Stable Diffusion with Amazon SageMaker. Hugging Face and Amazon introduced Hugging Face Deep Learning Containers (DLCs) to scale fine tuning tasks across multiple GPUs and nodes.

Generative AI 80

Generative AI AI AI Auto-classification 80