DagsHub

JULY 25, 2024

TensorFlow The Google Brain team created the open-source deep learning framework TensorFlow, which was made available in 2015. Libraries and Extensions: Includes torchvision for image processing, touchaudio for audio processing, and torchtext for NLP. Further Reading and Documentation H2O.ai Documentation H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

IBM Journey to AI blog

NOVEMBER 13, 2023

Kubernetes’s declarative, API -driven infrastructure has helped free up DevOps and other teams from manually driven processes so they can work more independently and efficiently to achieve their goals. And Kubernetes can scale ML workloads up or down to meet user demands, adjust resource usage and control costs.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

Pickl AI

AUGUST 22, 2024

In industry, it powers applications in computer vision, natural language processing, and reinforcement learning. This allows users to change the network architecture on-the-fly, which is particularly useful for tasks that require variable input sizes, such as natural language processing and reinforcement learning.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Chatbots Life

MARCH 17, 2023

Timeline by Antoine Louis on A Brief History of Natural Language Processing Siri, Google Assistant, Cortana, and Alexa, are the successive technologies rolled out in the 20th century. Simply put, GPTs are machine learning models based on the neural network architecture that mimics the human brain. How can you use it?

Natural Language Processing 52

Natural Language Processing AI AI Artificial Intelligence 52