The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

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Unite.AI

MAY 31, 2023

Hence, Liquid Neural Networks have two key features: Dynamic architecture: Its neurons are more expressive than the neurons of a regular neural network, making LNNs more interpretable. Lack of Literature Liquid Neural Networks have limited literature on implementation, application, and benefits.

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Mlearning.ai

JULY 11, 2023

You can use libraries like TensorFlow or PyTorch to practice building simple neural networks. Step 4: Learn About Different Deep Learning Architectures Deep learning offers various architectures for specific tasks. Learn how to fine-tune model parameters effectively.

Deep Learning 40

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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). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. The typical architecture of a neural machine translation model (NMT).

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Unite.AI

JULY 31, 2023

This approach is known as self-supervised learning , and it’s one of the most efficient methods to build ML and AI models that have the “ common sense ” or background knowledge to solve problems that are beyond the capabilities of AI models today.

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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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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Viso.ai

MARCH 8, 2024

Notable breakthroughs include the introduction of Convolutional Neural Networks (CNNs) , which dramatically improved the ability of machines to analyze and understand visual content. And, Generative Adversarial Networks (GANs) , which opened new doors for generating high-quality, realistic images.

Neural Network 52

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