Viso.ai

FEBRUARY 24, 2023

Challenges and advantages of self supervised learning The learning process and popular methods Recent research and applications of self supervised learning. Request a demo for your organization! PTMs are often used for language modeling, text classification, and question-answering systems. About us: viso.ai

Computer Vision 52

Computer Vision Neural Network Natural Language Processing Machine Learning 52

Viso.ai

DECEMBER 20, 2023

Get a demo for your organization. However, unsupervised learning has its own advantages, such as being more resistant to overfitting (the big challenge of Convolutional Neural Networks ) and better able to learn from complex big data, such as customer data or behavioral data without an inherent structure. About us: Viso.ai

Computer Vision 98

Computer Vision Neural Network Machine Learning Algorithm 98

Viso.ai

JULY 9, 2024

Get a personal demo. Discriminative models include a wide range of models, like Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Support Vector Machines (SVMs), or even simpler models like random forests. About us: viso.ai provides the leading end-to-end Computer Vision Platform Viso Suite.

Generative AI 52

Generative AI Neural Network AI AI 52

Viso.ai

MARCH 7, 2023

These neural networks have made significant contributions to computer vision, natural language processing , and anomaly detection, among other fields. Get a demo for your company. Autoencoders are a powerful tool used in machine learning for feature extraction, data compression, and image reconstruction.

Computer Vision 52

Computer Vision Neural Network Convolutional Neural Networks Machine Learning 52

Viso.ai

DECEMBER 10, 2023

Get a personalized demo. Training of Neural Networks for Image Recognition The images from the created dataset are fed into a neural network algorithm. The training of an image recognition algorithm makes it possible for convolutional neural network image recognition to identify specific classes.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Viso.ai

OCTOBER 10, 2024

Get a demo for your organization. Typical real-world examples are medical image processing, quality control in manufacturing, robot navigation , or face recognition. Pattern Recognition in Natural Language Processing Natural Language Processing (NLP) is a field of study that deals with the computational understanding of human language.

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Viso.ai

APRIL 26, 2024

Thus, these systems are grounded in traditional object detection and natural language processing frameworks. Object detection systems typically use frameworks like Convolutional Neural Networks (CNNs) and Region-based CNNs (R-CNNs).

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. Transformer models have become the de-facto status quo in Natural Language Processing (NLP).

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). Learn more by booking a demo. Addressing Data Processing Attention mechanisms address a critical challenge in AI: the efficient processing of vast and complex data sets. Vaswani et al.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Viso.ai

DECEMBER 1, 2023

Get the Whitepaper or a Demo. VGG Deep Convolutional Neural Network Architecture YOLO, or “You Only Look Once,” is a deep learning model for real-time object detection. developed by Mistral AI, was their first Large Language Model (LLMs).

AI Modeling 98

AI Modeling Neural Network Computer Vision Deep Learning 98

Viso.ai

JULY 9, 2024

Learn more and book a demo with us. Neural Networks For now, most attempts to develop ASI are still grounded in well-known models, such as neural networks , machine learning/deep learning , and computational neuroscience. About us: Viso Suite is the only end-to-end computer vision infrastructure.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Deep Learning 52

Viso.ai

MAY 6, 2024

To learn more, get a personalized demo from the Viso team. In particular, researchers are working with the following deep learning models to enhance spatio-temporal action recognition systems: Convolutional Neural Networks (CNNs) In a basic sense, spatial recognition systems use CNNs to extract features from pixel data.

Computer Vision 52

Computer Vision Deep Learning Neural Network Convolutional Neural Networks 52

Viso.ai

FEBRUARY 23, 2024

Get a demo. Prompt-based Segmentation combines the power of natural language processing (NLP) and computer vision to create an image segmentation model. Segment Anything Model demo example SAM’s architecture consists of an image encoder, a prompt encoder, and a mask decoder.

Computer Vision 98

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 98

Viso.ai

MARCH 26, 2024

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. 2: Automated Document Analysis and Processing No.3: 2: Automated Document Analysis and Processing No.3: To learn more about Viso Suite, book a demo with our team.

Computer Vision 52

Computer Vision Neural Network Convolutional Neural Networks Machine Learning 52

Viso.ai

MAY 1, 2024

Deep learning and Convolutional Neural Networks (CNNs) have enabled speech understanding and computer vision on our phones, cars, and homes. Natural Language Processing (NLP) and knowledge representation and reasoning have empowered the machines to perform meaningful web searches. Brooks et al.

Robotics 52

Robotics Convolutional Neural Networks Computer Vision Deep Learning 52

Viso.ai

JULY 9, 2024

Efficient, quick, and cost-effective learning processes are crucial for scaling these models. Transfer Learning is a key technique implemented by researchers and ML scientists to enhance efficiency and reduce costs in Deep learning and Natural Language Processing. Book a demo to learn more.

Neural Network 52

Neural Network BERT Deep Learning Computer Vision 52

Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. In this post, we present a new version of the library, new vectors, new evaluation recipes, and a demo NER project that we trained to usable accuracy in just a few hours.

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52

Viso.ai

JUNE 24, 2024

In a single interface, we deliver the full process of application development, deployment, and management. To learn more, book a demo with our team. However, those models still hold drawbacks, things like font, language, and format are big challenges for OCR models.

Computer Vision 40

Computer Vision Convolutional Neural Networks AI AI 40

Viso.ai

DECEMBER 21, 2023

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. Viso Suite is the end-to-End, No-Code Computer Vision Solution.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Viso.ai

MARCH 8, 2024

To learn more, book a demo with our team. Viso Suite, the all-in-one computer vision solution The journey of AI in art traces back to the development of neural networks and deep learning technologies. And, Generative Adversarial Networks (GANs) , which opened new doors for generating high-quality, realistic images.

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks Deep Learning 52