Unite.AI

NOVEMBER 5, 2024

The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. NVIDIA has been the dominant player in this domain for years, with its powerful Graphics Processing Units (GPUs) becoming the standard for AI computing worldwide.

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Pickl AI

NOVEMBER 24, 2024

Summary: Autoencoders are powerful neural networks used for deep learning. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. By the end, you’ll understand why autoencoders are essential tools in Deep Learning and how they can be applied across different fields.

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Deep Learning Neural Network Natural Language Processing Computer Vision 52

Analytics Vidhya

DECEMBER 22, 2019

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning. The post 2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

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Deep Learning Machine Learning NLP Computer Vision 208

Unite.AI

OCTOBER 27, 2024

The framework enables developers to build, train, and deploy machine learning models entirely in JavaScript, supporting everything from basic neural networks to complex deep learning architectures. What distinguishes TensorFlow.js is its comprehensive ecosystem and optimization capabilities.

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Marktechpost

MAY 20, 2024

Deep learning is a subset of machine learning that involves training neural networks with multiple layers to recognize patterns and make data-based decisions. This article lists the top courses in deep learning that provide comprehensive knowledge and practical skills necessary to excel in this transformative field.

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Deep Learning Neural Network Computer Vision Natural Language Processing 128

Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

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Marktechpost

AUGUST 3, 2024

Multi-layer perceptrons (MLPs) have become essential components in modern deep learning models, offering versatility in approximating nonlinear functions across various tasks. The difficulty in understanding learned representations limits their transparency, while expanding the network scale often proves complex.

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Computer Vision Machine Learning NLP Neural Network 122

PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Towards AI

JANUARY 31, 2025

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Image by author When the first computer, Alan Turings machine, appeared in the 1940s, humans started to struggle in explaining how it encrypts and decrypts messages. This member-only story is on us.

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Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

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Deep Learning Machine Learning Python Computer Vision 123

Marktechpost

MAY 28, 2024

Recent advancements in deep learning offer a transformative approach by enabling end-to-end learning models that can directly process raw biomedical data. Despite the promise of deep learning in healthcare, its adoption has been limited due to several challenges.

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Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. S191: Introduction to Deep Learning MIT’s 6.S191

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Deep Learning Machine Learning NLP Robotics 40

Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data. This improvement has led to a significant advancement in medical diagnosis.

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Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks. And lets be real what a year it has been!

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Towards AI

NOVEMBER 19, 2023

This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information. What is the issue of training deep learning models from scratch? It needs a lot of labeled data that takes more time and effort if not available publicly.It

Deep Learning 122

Deep Learning Natural Language Processing Computer Vision NLP 122

Marktechpost

APRIL 12, 2024

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models.

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Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance, there is a growing need for skilled professionals to develop innovative solutions for various applications, such as chatbots, sentiment analysis, and machine translation.

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Natural Language Processing NLP Deep Learning Python 113

Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Computer Vision Deep Learning NLP Neural Network 52

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

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AI Weekly

APRIL 11, 2024

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. No legacy process is safe.

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Robotics Artificial Intelligence Artificial Intelligence Data Drift 264

Viso.ai

DECEMBER 20, 2023

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. What is supervised learning? About us: Viso.ai

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Unite.AI

SEPTEMBER 18, 2023

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

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Marktechpost

JUNE 3, 2024

Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. It covers AI fundamentals, including supervised learning and deep learning basics, without complex math.

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Convolutional Neural Networks Neural Network Deep Learning Computer Vision 122

Towards AI

FEBRUARY 6, 2025

to Artificial Super Intelligence and black box deep learning models. This article explores the potential pathways to Artificial Super Intelligence (ASI), examining scaled-up deep learning, neuro-symbolic AI, cognitive architectures, whole brain emulation, and evolutionary algorithms. Enjoy the read!

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Deep Learning Computer Vision Large Language Models Explainability 73

IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. This allows intelligent machines to identify and classify objects within images and video footage.

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Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 209

Analytics Vidhya

AUGUST 5, 2022

Introduction Image caption generator is the most fascinating application I found while working with NLP. This article was published as a part of the Data Science Blogathon. It’s cool to train your system to label the images you feed to it. As interesting as it sounds, it is equally challenging to implement this application. It […].

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NLP Data Science Computer Vision Deep Learning 381

IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.

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Computer Vision NLP Robotics Automation 247

Unite.AI

MAY 29, 2024

Recent advancements in hardware such as Nvidia H100 GPU, have significantly enhanced computational capabilities. With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. These LLMs can perform various NLP operations, including data extraction.

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Towards AI

DECEMBER 26, 2024

Louis-Franois Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section! But, all the rules of learning that apply to AI, machine learning, and NLP dont always apply to LLMs, especially if you are building something or looking for a high-paying job. AI poll of the week! Shubhamgaur.

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LLM Neural Network NLP Computer Vision 105

AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. use train_dataloader in the rest of the training logic.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite imagery to understand our planet and our impact on it. In this blog post we discussed using computer vision on satellite imagery.

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Computer Vision Metadata Machine Learning ML 101

Marktechpost

JULY 31, 2024

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning This course teaches you how to use TensorFlow to build scalable AI models, starting with a soft introduction to Machine Learning and Deep Learning principles.

Neural Network 108

Neural Network Auto-classification Natural Language Processing Deep Learning 108

Towards AI

JULY 23, 2023

In this article, we aim to focus on the development of one of the most powerful generative NLP tools, OpenAI’s GPT. Evolution of NLP domain after Transformers Before we start, let's take a look at the timeline of the works which brought great advancement in the NLP domain. Let’s see it step by step. In 2015, Andrew M.

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NLP Natural Language Processing Auto-classification Computer Vision 98

AWS Machine Learning Blog

MARCH 5, 2025

She also has a background in working on Natural Language processing (NLP) and a degree in psychology. Prior to AWS, he led research for new products at a computer vision unicorn and founded an early generative AI startup. His research interests include deep learning, computer vision, NLP, recommender systems, and generative AI.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more.

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