Computer Vision Tools
Clarifai
Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real w ...
Clarifai
Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real w ...
Natural Language Processing
Claude Developer Platform
Natural Language Processing tools enable computers to understand, interpret, and generate human language. Services provide advanced language understanding capabilities for applicat ...
Claude Developer Platform
Natural Language Processing tools enable computers to understand, interpret, and generate human language. Services provide advanced language understanding capabilities for applicat ...
AI Product Applications
AI Chatbots • AI Platforms & Infrastructure • AI Code Assistants • AI Image and Video Generation • AI Writing Tools • AI Voice & Audio Tools • AI Design & UI Tools
AI Chatbots • AI Platforms & Infrastructure • AI Code Assistants • AI Image and Video Generation • AI Writing Tools • AI Voice & Audio Tools • AI Design & UI Tools
Software Libraries / Frameworks -
Keras • TensorFlow
A software framework is software that provides reusable, generic functionality which developers can extend or customize to create complete solutions. It offers an abstraction layer ...
Keras • TensorFlow
A software framework is software that provides reusable, generic functionality which developers can extend or customize to create complete solutions. It offers an abstraction layer ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without being explicitly programmed. Advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. Statistics and mathematical optimisation methods compose the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) through unsupervised learning. From a theoretical viewpoint, probably approximately correct learning provides a mathematical and statistical framework for describing machine learning.
Wikipedia
Wikipedia