The MLOps Blog

NOVEMBER 14, 2023

Example of a deep learning visualization: small convolutional neural network CNN, notice how the thickness of the colorful lines indicates the weight of the neural pathways | Source How is deep learning visualization different from traditional ML visualization? You can find an interactive version online.

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Viso.ai

OCTOBER 10, 2024

Get a demo for your organization. Pattern Recognition in Natural Language Processing Natural Language Processing (NLP) is a field of study that deals with the computational understanding of human language. In recent years, NLP has made great strides due to the increasing availability of data and advances in machine learning.

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Viso.ai

FEBRUARY 8, 2024

Get a demo here. Viso Suite is the end-to-end, no-code computer vision platform Idea Behind Deep Belief Networks Deep belief networks consist of various layers of neurons, each connected to the neuron of the subsequent layer. Book a demo to learn more about the Viso suite.

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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

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Viso.ai

MARCH 20, 2024

Learn more about Viso Suite by booking a demo with us. Foundation models are large-scale neural network architectures that undergo pre-training on vast amounts of unlabeled data through self-supervised learning. Traditional NLP methods heavily rely on models that are trained on labeled datasets.

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Viso.ai

MARCH 26, 2024

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. To learn more about Viso Suite, book a demo with our team. Technologies such as Optical Character Recognition (OCR) and Natural Language Processing (NLP) are foundational to this.

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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. Source ) This has led to groundbreaking models like GPT for generative tasks and BERT for understanding context in Natural Language Processing ( NLP ). Vaswani et al.

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Viso.ai

SEPTEMBER 2, 2024

To learn more about enterprise-grade AI, book a demo with our team of experts to discuss Viso Suite. Image annotation AI / Data Annotation Job Aside from the image annotation – there is data annotation related to AI and machine learning applications, e.g. in natural language processing (NLP), or retail.

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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. To learn more about this AI model, read our guide about how Deep Neural Network models work.

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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. from_disk("./fashion_brands_patterns.jsonl")

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Viso.ai

JUNE 18, 2024

Get a demo for your company. Using a Mask R–CNN ( convolutional neural network ) model, they were able to achieve a detection accuracy of 75% and 79.5% However, the potential of Large Language Models (LLMs) and Natural Language Processing (NLP) doesn’t stop at mastering modern languages.

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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.

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Viso.ai

JULY 9, 2024

Book a demo to learn more. As the name suggests, this technique involves transferring the learnings of one trained machine learning model to another, in the form of neural network weights. We can choose a language model like BERT that can parse human text to build an NLP model such as a text summary.

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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.

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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. In NLP this process is used to predict the next word in a sentence.

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Viso.ai

OCTOBER 17, 2024

To start implementing computer vision for business solutions, book a demo of Viso Suite with our team of experts. Feedforward neural networks on the other hand are more traditional one-way networks, where data flows in one direction (forward) which is the opposite of RNNs that have loops.

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Explosion

AUGUST 3, 2017

We’ve been working on Prodigy since we first launched Explosion last year, alongside our open-source NLP library spaCy and our consulting projects (it’s been a busy year!). Try the live demo! The model is a convolutional neural network stacked with a unigram bag-of-words. Human time and attention is precious.

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Viso.ai

FEBRUARY 24, 2023

Request a demo for your organization! Temporal coherence was exploited in a co-training setting by early work on learning convolutional neural networks (CNNs) for visual object detection and face detection. About us: viso.ai PTMs are often used for language modeling, text classification, and question-answering systems.

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Viso.ai

JUNE 24, 2024

To learn more, book a demo with our team. These models usually use a classification algorithm like a Convolutional Neural Network (CNN) or a multimodal architecture. However, public datasets are available for a variety of tasks, whether it is captioning, segmentation , detection, NLP, or even video data.

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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.

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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.

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