Introduction to Few-Shot Learning
Have you ever had to learn something new with very little information to go off of? Maybe you had only a few examples or samples to work with, and had to generalize what you learned to apply it to a larger set of problems. This is exactly the same challenge of few-shot learning.
Few-shot learning, a subfield of machine learning, is an approach in which a learner is trained on multiple, similar tasks during training, so that it can then generalize what it learn
As we continue to capture and store images at an unprecedented rate, the need for searching through these images has become more important than ever. Visual Instance Search is a technique used to retrieve images from a database that contain an exact match of a visual query. This task is more difficult than finding images with just a similar object due to variations in shape, color, and size. It poses a challenge to image representation and requires features that enable fine-grained recognition d
Speech recognition is an advanced technology used to convert human speech into written text. This process is also known as automatic speech recognition (ASR) and uses different algorithms to detect and analyze human speech, providing a written transcript of a recording or live speech.
How Speech Recognition Works
Speech recognition technology is based on a combination of computer science, linguistics, and pattern recognition. It uses machine learning and artificial intelligence to analyze and
Text-To-Speech Synthesis is an innovative technology that converts written text into spoken words by using machine learning techniques. This technology has revolutionized how individuals with disabilities, the elderly, and users who prefer not to read, can interact with technology. With the continuous advancement of technology, new tools are now able to generate synthetic speech that sounds natural and resembles human speech. This has brought incredible benefits for the affected population.
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