Becoming Human

MARCH 16, 2023

Photo by NASA on Unsplash Hello and welcome to this post, in which I will study a relatively new field in deep learning involving graphs — a very important and widely used data structure. This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications.

Clustering 87

Clustering Computer Science Computer Science Deep Learning 87

Towards AI

JULY 21, 2023

To further comment on Fury, for those looking to intern in the short term, we have a position available to work in an NLP deep learning project in the healthcare domain. NLP Model Forge So… the NLP Model Forge, a collection of 1,400 NLP code snippets that you can seamlessly select to run inference in Colab!

Deep Learning 98

Deep Learning Deep Learning SQL Natural Language Processing 98

Becoming Human

MAY 15, 2023

Unsupervised Learning In this type of learning, the algorithm is trained on an unlabeled dataset, where no correct output is provided. Performance Metrics These are used to evaluate the performance of a machine-learning algorithm. Some popular libraries used for deep learning are Keras , PyTorch , and TensorFlow.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Google Research AI blog

MARCH 7, 2023

books, magazines, newspapers, forms, street signs, restaurant menus) so that they can be indexed, searched, translated, and further processed by state-of-the-art natural language processing techniques. Middle: Illustration of line clustering. Right: Illustration paragraph clustering. Samples from the HierText dataset.

Clustering 102

Clustering Natural Language Processing Deep Learning Deep Learning 102