Unite.AI

AUGUST 8, 2023

Instead of complex and sequential architectures like Recurrent Neural Networks (RNNs) or Convolutional Neural Networks (CNNs), the Transformer model introduced the concept of attention, which essentially meant focusing on different parts of the input text depending on the context.

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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. Thus, positioning him as one of the top AI influencers in the world.

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Heartbeat

MAY 30, 2023

It combines reinforcement learning (RL), a type of learning in which an agent learns through examinations and experimentations by receiving rewards or punishments based on its actions, with deep learning. This machine learning subset uses artificially generated neural networks to model complex data relationships.

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PyImageSearch

MARCH 30, 2023

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision. Also, you might want to check out our computer vision for deep learning program before you go.

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Viso.ai

FEBRUARY 23, 2024

Our software enables ML teams to train deep learning and machine learning models and deploy them in computer vision applications – completely end-to-end. For more details, check out our Image Segmentation Using Deep Learning article. Modern machine learning has come a long way. Get a demo.

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Pickl AI

JULY 16, 2023

The surge of technologies like Machine Learning has revolutionized the way we solve complex problems. The surge of deep learning, frameworks like TensorFlow have emerged as powerful tools. It ensures effective implementation and deployment of Machine Learning models. It also promotes intelligent decision making.

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Pickl AI

JULY 14, 2023

Consequently, inspired by the brain’s structure, neural networks experienced a resurgence and contributed to advancements in image and speech recognition. Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics.

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Heartbeat

MARCH 5, 2024

This article explores the exciting world of image enhancement techniques, including various methods that can be employed to preprocess and improve images, ranging from traditional image processing techniques to modern deep learning-based approaches. What Is Image Augmentation? height_shift_range=0.2, shear_range=0.2,

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Viso.ai

DECEMBER 27, 2023

The concept of CLIP is based on contrastive learning methods What is an example of contrast learning? In a computer vision example of contrast learning, we aim to train a tool like a convolutional neural network to bring similar image representations closer and separate the dissimilar ones.

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Pickl AI

AUGUST 1, 2023

As technology continues to impact how machines operate, Machine Learning has emerged as a powerful tool enabling computers to learn and improve from experience without explicit programming. In this blog, we will delve into the fundamental concepts of data model for Machine Learning, exploring their types.

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Viso.ai

FEBRUARY 24, 2023

Recent self-supervised learning models include frameworks such as Pre-trained Language Models (PTM), Generative Adversarial Networks (GAN) , Autoencoder and its extensions, Deep Infomax, and Contrastive Coding. The term was then borrowed by the field of machine learning. We will cover those later in more detail.

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Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas.

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The MLOps Blog

FEBRUARY 22, 2024

Important note: Continual learning aims to allow the model to effectively learn new concepts while ensuring it does not forget already acquired information. Plenty of CL techniques exist that are useful in various machine-learning scenarios. Renate is a library designed by the AWS Labs.

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